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Journal Papers (*student or postdoc)

  1. *Badakhshan, S., *Jacob, R. A., Li, B., Wang, P. and Zhang, J., Reinforcement Learning over Graphs for Intentional Islanding of Power Transmission Networks. (under review)

  2. *Badakhshan, S. and Zhang, J., Generative AI Enabled Cybersecurity of Integrated Energy Systems. (under review)

  3. Uddin, J., *Olojede, D., *Jacob, R. A., Coskunuzer, B. and Zhang, J., MP-Grid: Detecting Power Grid Outages with Topological Machine Learning. (under review)

  4. *Jacob, R. A., Paul, S., Chowdhury, S., Gel, Y. R. and Zhang, J., Real-Time Outage Management in Active Distribution Networks Using Reinforcement Learning over Graphs. (under review)

  5. *Senemmar, S., *Jacob, R. A. and Zhang, J., Non-Intrusive Fault Detection in Shipboard Power Systems using Wavelet Graph Neural Networks. (under review)

  6. *Rahman, J. and Zhang, J., Steady-state Modeling of Small Modular Reactors for Multi-timescale Power System Operations with Temporally Coupled Sub-models. (under review)

  7. *Rahman, J., *Jacob, R. A. and Zhang, J., Multi-timescale Power System Operations for Electrolytic Hydrogen Generation in Integrated Nuclear-Renewable Energy Systems. (under review)

  8. *Liu, Y., *Wang, J. and Zhang, J., Electric Vehicle Energy Management via Traffic Light Detection and Segmental Velocity Forecasting. (under review)

  9. *Senemmar, S. and Zhang, J., Convolutional Wavelet Neural Network Based Non-intrusive Load Monitoring for Next Generation Shipboard Power Systems. (under review)

  10. *Jacob, R. A. and Zhang, J., Adaptive Formation of Microgrids using Graph Neural Networks for Service Restoration in Active Distribution Networks. (under review)

  11. *Badakhshan, S., *Rahman, J. and Zhang, J., Black Start of Coastline Power Networks From Grid-forming Ship-to-Grid Services, IEEE Transactions on Smart Grid, Vol. 15, Issue 2, 2024, pp. 1670-1679. (PDF)

  12. Wang, X., Yu, Y, Li, S., Zhang, J. and Liu, Z., Point-to-Point-Based Optimization Method of Ballast Water Allocation for Revolving Floating Cranes with Experimental Verification, Journal of Marine Science and Engineering, Vol. 12, Issue 3, 2024, pp. 437. (PDF)

  13. Wang, X., Li, S., Yu, Y, Zhang, J. and Liu, Z., Collaborative Matching Design Method of Lifting Trajectory and Ballast Water Allocation for Revolving Floating Cranes with Experimental Validation, Ocean Engineering, Vol. 296, 2024, pp. 117033. (PDF)

  14. Chen, Y., *Jacob, R. A., Gel, Y. R., Zhang, J. and Poor, H. V., Learning Power Grid Outages with Higher-Order Topological Neural Networks, IEEE Transactions on Power Systems, Vol. 39, Issue 1, 2024, pp. 720-732. (PDF) (JSM Best Student Paper Award)

  15. *Li, H. and Zhang, J., Towards Sustainable Integration: Techno-Economic Analysis and Future Perspectives of Co-located Wind and Hydrogen Energy Systems, Journal of Mechanical Design, Vol. 146, Issue 2, 2024, pp. 020903 (15 pages). (PDF)

  16. Hua, Z., Zhou, B., Or, S.W., Zhang, J., Li, C. and Wei, J., Robust Emergency Preparedness Planning for Resilience Enhancement of Energy-Transportation Nexus against Extreme Rainfalls, IEEE Transactions on Industry Applications, Vol. 60, Issue 1, 2024, 1196-1207. (PDF)

  17. Poudel, B., Gautam, M., Li, B., Huang, J. and Zhang, J., Design, Modeling and Simulation of Nuclear-Powered Integrated Energy Systems With Cascaded Heating Applications, Journal of Renewable and Sustainable Energy, Vol. 15, Issue 5, 2023, 054103. (Featured Article and Scilight) (PDF)

  18. *Jacob, R. A. and Zhang, J., Modeling and Control of Nuclear-Renewable Integrated Energy Systems: Dynamic System Model for Green Electricity and Hydrogen Production, Journal of Renewable and Sustainable Energy, Vol. 15, Issue 4, 2023, 046302. (Featured Article and Scilight) (PDF)

  19. Zhang, Junqiang, Chowdhury, S., Zhang, J., Tong, W. and Messac, A., Optimal Selection of Time Windows for Preventive Maintenance of Offshore Wind Farms Subject to Wake Losses, Wind Energy, Vol. 26, Issue 11, 2023, pp. 1103-1122 (PDF)

  20. *He, L. and Zhang, J., Energy Trading in Local Electricity Markets with Behind-The-Meter Solar and Energy Storage, IEEE Transactions on Energy Markets, Policy and Regulation, Vol. 1, Issue 2, 2023, pp. 107-117. (PDF)

  21. *Rahman, J. and Zhang, J., Multi-timescale Operations of Nuclear-Renewable Hybrid Energy Systems for Reserve and Thermal Products Provision, Journal of Renewable and Sustainable Energy, Vol. 15, Issue 2, 2023, 025901. (Featured Article and Scilight) (PDF)

  22. Wu, J., Chen, X., *Badakhshan, S., Zhang, J. and Wang, P., Spectral Graph Clustering for Intentional Islanding Operations in Resilient Hybrid Energy Systems, IEEE Transactions on Industrial Informatics, Vol. 19, Issue 4, 2023, pp. 5956-5964. (PDF)

  23. Hobbs, B., Krishnan, V., Zhang, J., Hamann, H., Siebenschuh, C., Zhang, R., *Li, B., *He, L., Edwards, P., Sky, H., Krad, I., Spyrou, E., Fang, X., Wang, Y. and Zhang, S., How Can Probabilistic Solar Power Forecasts Be Used to Lower Costs and Improve Reliability in Power Spot Markets? A Review and Application to Flexiramp Requirements, IEEE Open Access Journal of Power and Energy, Vol. 9, 2022, pp. 437-450. (PDF)

  24. Hobbs, B., Zhang, J., Hamann, H., Siebenschuh, C., Zhang, R., *Li, B., Krad, I., Krishnan, V., Spyrou, E., Wang, Y., Xu, Q. and Zhang, S., Using Probabilistic Solar Power Forecasts to Inform Flexible Ramp Product Procurement for the California ISO, Solar Energy Advances, Vol. 2, 2022, pp. 100024. (PDF)

  25. *Li, B., Feng, C., Siebenschuh, C., Zhang, R., Spyrou, E., Krishnan, Hobbs, B. and Zhang, J., Sizing Ramping Reserve Using Probabilistic Solar Forecasts: A Data-Driven Method, Applied Energy, Vol. 313, 2022, pp. 118812. (PDF)

  26. *He, L., *Liu, Y. and Zhang, J., An Occupancy-Informed Customized Price Design for Consumers: A Stackelberg Game Approach, IEEE Transactions on Smart Grid, Vol. 13, Issue 3, 2022, pp. 1988-1999. (PDF)

  27. *Feng, C., Zhang, J., Zhang, W. and Hodge, B.-M., Convolutional Neural Networks for Intra-hour Solar Forecasting Based on Sky Image Sequences, Applied Energy, Vol. 310, 2022, pp. 118438. (PDF)

  28. Seifossadat, S.A., Rastegar, M., Mohammadi, M., *Senemmar, S. and Zhang, J., Hierarchical Microenergy Hub Sizing and Placement in Integrated Electricity and Natural Gas Distribution Systems, IEEE Systems Journal, Vol. 16, Issue 4, 2022, pp. 5380-5391. (PDF)

  29. *Sun, M., *He, L. and Zhang, J., Deep Learning-based Probabilistic Anomaly Detection for Solar Farms under Cyberattacks, International Journal of Electrical Power and Energy Systems, Vol. 137, 2022, pp. 107752. (PDF)

  30. *Liu, Y. and Zhang, J., A Repeated Commuting Driving Cycle Dataset with Application to Short-term Vehicle Velocity Forecasting, Journal of Autonomous Vehicles and Systems, Vol. 1, Issue 3, 2021, pp. 031002. (PDF)

  31. *He, L., *Liu, Y. and Zhang, J., Peer-to-Peer Energy Sharing with Battery Storage: Energy Pawn in The Smart Grid, Applied Energy, Vol. 297, 2021, pp. 117129. (PDF)

  32. *Feng, C., *Liu, Y. and Zhang, J., A Taxonomical Review on Recent Artificial Intelligence Applications to PV Integration into Power Grids, International Journal of Electrical Power and Energy Systems, Vol. 132, 2021, pp. 107176. (PDF)

  33. *Rahman, J., *Feng, C. and Zhang, J., A Learning-Augmented Approach for AC Optimal Power Flow, International Journal of Electrical Power and Energy Systems, Vol. 130, 2021, pp. 106908. (PDF)

  34. Dabbaghjamanesh, M., Wang, B., Kavousi-Fard, A., Hatziargyriou, N. and Zhang, J., Blockchain-based Stochastic Energy Management of Interconnected Microgrids Considering Incentive Price, IEEE Transactions on Control of Network Systems, Vol. 8, Issue 3, 2021, pp. 1201-1211. (PDF)

  35. *Li, B., Ofori-Boateng, D., Gel, Y. R. and Zhang, J., A Hybrid Approach for Transmission Grid Resilience Assessment Using Reliability Metrics and Power System Local Network Topology, Sustainable and Resilient Infrastructure, Vol. 6, Issue 1-2, 2021, pp. 26-41. (PDF)

  36. *He, L. and Zhang, J., A Community Sharing Market with PV and Energy Storage: An Adaptive Bidding-based Double-side Auction Mechanism, IEEE Transactions on Smart Grid, Vol. 12, Issue 3, 2021, pp. 2450-2461. (PDF)

  37. Dabbaghjamanesh, M., Moeini, A., Hatziargyriou, N. and Zhang, J., Deep Learning-based Real-time Switching of Hybrid AC/DC Transmission Networks, IEEE Transactions on Smart Grid, Vol. 12, Issue 3, 2021, pp. 2331-2342. (PDF)

  38. *Liu, Y. and Zhang, J., Electric Vehicle Battery Thermal and Cabin Climate Management Based on Model Predictive Control, Journal of Mechanical Design, Vol. 143, Issue 3, 2021, pp. 031705. (PDF)

  39. *Jia, Y., Ying, L., Wang. D. and Zhang, J., Defect Prediction of Relay Protection Systems based on LSSVM-BNDT, IEEE Transactions on Industrial Informatics, Vol. 17, Issue 1, 2021, pp. 710-719. (PDF)

  40. Dabbaghjamanesh, M., *Senemmar, S. and Zhang, J., Resilient Distribution Networks Considering Mobile Marine Microgrids: A Synergistic Network Approach, IEEE Transactions on Industrial Informatics, Vol. 17, Issue 8, 2021, pp. 5742-5750. (PDF)

  41. Dabbaghjamanesh, M., Kavousi-Fard, A. and Zhang, J., Stochastic Modeling and Integration of Plug-in Hybrid Electric Vehicles in Reconfigurable Microgrids with Deep Learning-based Forecasting, IEEE Transactions on Intelligent Transportation Systems, Vol. 22, Issue 7, 2021, pp. 4394-4403. (PDF)

  42. Li, W., Srinivasan, D., Zhang, J. and Yang, D., Preface of Progress in Solar Energy Special Issue: Grid integration, Solar Energy, Vol. 210, 2020, pp. 1-2. (PDF)

  43. *Li, B. and Zhang, J., A Review on the Integration of Probabilistic Solar Forecasting in Power Systems, Solar Energy, Vol. 210, 2020, pp. 68-86. (Invited Paper) (PDF)

  44. *Li, B., Sedzro, K., Fang, X., Hodge, B.-M. and Zhang, J., A Clustering-Based Scenario Generation Framework for Power Market Simulation with Wind Integration, Journal of Renewable and Sustainable Energy, Vol. 12, 2020, pp. 036301. (PDF)

  45. Yang, D., Zhang, J., et al., Verification of Deterministic Solar Forecasts, Solar Energy, Vol. 210, 2020, pp. 20-37. (PDF)

  46. *Feng, C. and Zhang, J., SolarNet: A Sky Image-based Deep Convolutional Neural Network for Intra-hour Solar Forecasting, Solar Energy, Vol. 204, 2020, pp. 71-78. (PDF)

  47. *Feng, C., Mehmani, A. and Zhang, J., Deep Learning-based Real-time Building Occupancy Detection Using AMI Data, IEEE Transactions on Smart Grid, Vol. 11, Issue 5, 2020, pp. 4490-4501. (PDF)

  48. *Sun, M., *Feng, C. and Zhang, J., Probabilistic Solar Power Forecasting based on Weather Scenario Generation, Applied Energy, Vol. 266, 2020, pp. 114823. (PDF)

  49. *Feng, C. and Zhang, J., Assessment of Aggregation Strategies for Machine Learning based Short-Term Load Forecasting, Electric Power Systems Research, Vol. 184, 2020, pp. 106304. (PDF)

  50. *Liu, Y. and Zhang, J., Self-adapting J-type Air-based Battery Thermal Management System via Model Predictive Control, Applied Energy, Vol. 263, 2020, pp. 114640. (PDF)

  51. Dabbaghjamanesh, M., Mehraeen, S., Kavousi-Fard, A., Zhang, J. and Dong, Z., Sensitivity Analysis of Renewable Energy Integration on Stochastic Energy Management of Automated Reconfigurable Hybrid AC-DC Microgrid Considering DLR Security Constraint, IEEE Transactions on Industrial Informatics, Vol. 16, Issue 1, 2020, pp. 120-131. (PDF)

  52. *Sun, M., *Feng, C. and Zhang, J., Multi-Distribution Ensemble Probabilistic Wind Power Forecasting, Renewable Energy, Vol. 148, 2020, pp. 135-149. (PDF)

  53. Lv, L., Shi, M., Song, X., Sun, W. and Zhang, J., A Fast-Converging Ensemble Infilling Approach Balancing Global Exploration and Local Exploitation: The Go-Inspired Hybrid Infilling Strategy, Journal of Mechanical Design, Vol. 142, Issue 2, 2020, pp. 021403. (PDF)

  54. *Feng, C., *Sun, M. and Zhang, J., Reinforced Deterministic and Probabilistic Load Forecasting via Q-Learning Dynamic Model Selection, IEEE Transactions on Smart Grid, Vol. 11, Issue 2, 2020, pp. 1377-1386. (PDF)

  55. *Sun, M., *Feng, C. and Zhang, J., Conditional Aggregated Probabilistic Wind Power Forecasting Based on Spatio-temporal Correlation, Applied Energy, Vol. 256, 2019, pp. 113842. (PDF)

  56. *Feng, C., Yang, D., Hodge, B.-M. and Zhang, J., OpenSolar: Promoting the Openness and Accessibility of Diverse Public Solar Datasets, Solar Energy, Vol. 188, 2019, pp. 1369-1379. (PDF)

  57. *Liu, Y. and Zhang, J., Design A J-type Air-based Battery Thermal Management System through Surrogate-based Optimization, Applied Energy, Vol. 252, 2019, pp. 113426. (PDF)

  58. Song, X., Lv, L., Sun, W. and Zhang, J., A Radial Basis Function-based Multi-fidelity Surrogate Model: Exploring Correlation Between High-Fidelity and Low-Fidelity Models, Structural and Multidisciplinary Optimization, Vol. 60, Issue 3, 2019, pp. 965-981. (PDF)

  59. *Sun, M., *Feng, C., Chartan, E., Hodge, B.-M. and Zhang, J., A Two-Step Short-Term Probabilistic Wind Forecasting Methodology Based on Predictive Distribution Optimization, Applied Energy, Vol. 238, 2019, pp. 1497-1505. (PDF)

  60. *Li, M., *Liu, Y., *Wang, X. and Zhang, J., Modeling and Optimization of An Enhanced Battery Thermal Management System in Electric Vehicles, Frontiers of Mechanical Engineering, Vol. 14, Issue 1, 2019, pp. 65-75. (PDF)

  61. *Feng, C., *Sun, M., *Cui, M., Chartan, E., Hodge, B.-M. and Zhang, J., Characterizing Forecastability of Wind Sites in the United States, Renewable Energy, Vol 133, 2019, pp. 1352-1365. (PDF)

  62. *Cui, M., Krishnan, V., Hodge, B.-M. and Zhang, J., A Copula-Based Conditional Probabilistic Forecast Model for Wind Power Ramps, IEEE Transactions on Smart Grid, Vol. 10, Issue 4, 2019, pp. 3870-3882. (PDF)

  63. *Cui, M., Zhang, J., Wang, Q., Krishnan, V. and Hodge, B.-M., A Data-Driven Methodology for Probabilistic Wind Power Ramp Forecasting, IEEE Transactions on Smart Grid, Vol. 10, Issue 2, 2019, pp. 1326-1338. (PDF)

  64. *Feng, C., *Cui, M., Hodge, B.-M., Lu, S., Hamann, H. F. and Zhang, J., Unsupervised Clustering-Based Short-Term Solar Forecasting, IEEE Transactions on Sustainable Energy, Vol. 10, Issue 4, 2019, pp. 2174-2185. (PDF)

  65. Albaker, A., Majzoobi, A., Zhao, G., Zhang, J. and Khodaei, A., Privacy-Preserving Optimal Scheduling of Integrated Microgrids, Electric Power Systems Research, Vol. 163, 2018, pp. 164-173. (PDF)

  66. *Wang, X., *Liu, Y., Sun, W., Song, X. and Zhang, J., Multidisciplinary and Multifidelity Design Optimization of Electric Vehicle Battery Thermal Management System, Journal of Mechanical Design, Vol. 140, Issue 9, 2018, pp. 094501 (8 pages). (PDF)

  67. *Cui, M. and Zhang, J., Estimating Ramping Requirements With Solar-Friendly Flexible Ramping Product in Multi-Timescale Power System Operations, Applied Energy, Vol. 225, 2018, pp. 27-41. (PDF)

  68. Song, X., Lv, L., Li, J., Sun, W. and Zhang, J., An Advanced and Robust Ensemble Surrogate Model: Extended Adaptive Hybrid Functions, Journal of Mechanical Design, Vol. 140, Issue 4, 2018, pp. 041402 (9 pages). (PDF)

  69. *Cui, M., Zhang, J., Hodge, B.-M., Lu, S. and Hamann, H. F., A Methodology for Quantifying Reliability Benefits from Improved Solar Power Forecasting in Multi-Timescale Power System Operations, IEEE Transactions on Smart Grid, Vol. 9, Issue 6, 2018, pp. 6897-6908. (PDF)

  70. *Cui, M., *Feng, C., *Wang, Z. and Zhang, J., Statistical Representation of Wind Power Ramps Using a Generalized Gaussian Mixture Model, IEEE Transactions on Sustainable Energy, Vol. 9, Issue 1, 2018, pp. 261-272. (PDF)

  71. *Wang, X., *Li, M., *Liu, Y., Sun, W., Song, X. and Zhang, J., Surrogate based Multidisciplinary Design Optimization of Lithium-ion Battery Thermal Management System in Electric Vehicles, Structural and Multidisciplinary Optimization, Vol. 56, Issue 6, 2017, pp. 1555-1570. (PDF)

  72. *Cui, M., Zhang, J., *Feng, C., Florita, A., Sun, Y. and Hodge, B.-M., Characterizing and Analyzing Ramping Events in Wind Power, Solar Power, Load, and Netload, Renewable Energy, Vol. 111, 2017, pp. 227-244. (PDF)

  73. Ashuri, T. and Zhang, J., CompSim: Cross Sectional Modeling of Geometrical Complex and Inhomogeneous Slender Structures, SoftwareX, Vol. 6, 2017, pp. 155-160. (PDF)

  74. Zhang, J., *Cui, M., Hodge, B.-M., Florita, A. and Freedman, J., Ramp Forecasting Performance from Improved Short-Term Wind Power Forecasting Over Multiple Spatial and Temporal Scales, Energy, Vol. 122, 2017, pp. 528-541. (PDF)

  75. *Feng, C., *Cui, M., Hodge, B.-M. and Zhang, J., A Data-Driven Multi-Model Methodology with Deep Feature Selection for Short-Term Wind Forecasting, Applied Energy, Vol. 190, 2017, pp. 1245-1257. (PDF)

  76. *Cui, M., Zhang, J., Wu, H. and Hodge, B.-M., Wind-Friendly Flexible Ramping Product Design in Multi-Timescale Power System Operations, IEEE Transactions on Sustainable Energy, Vol. 8, Issue 3, 2017, pp. 1064-1075. (PDF)

  77. Wu, H., Krad, I., Florita, A., Hodge, B.-M., Ibanez, E., Zhang, J. and Ela, E., Stochastic Multi-timescale Power System Operations with Variable Wind Generation, IEEE Transactions on Power Systems, Vol. 32, Issue 5, 2017, pp. 3325-3337. (PDF)

  78. Zhang, J., Jain, R. and Hodge, B.-M., A Data-Driven Method to Characterize Turbulence-Caused Uncertainty in Wind Power Generation, Energy, Vol. 112, 2016, pp. 1139-1152. (PDF)

  79. Ashuri, T., Zaaijer, M., Martins, J. and Zhang, J., Multidisciplinary Design Optimization of Large Wind Turbines - Technical, Economic, and Design Challenges, Energy Conversion and Management, Vol. 123, 2016, pp. 56-70. (PDF)

  80. Sun, W., *Wang, X., Wang, L., Zhang, J. and Song, X., Multidisciplinary Design Optimization of Tunnel Boring Machine Considering Both Structure and Control Parameters under Complex Geological Conditions, Structural and Multidisciplinary Optimization, Vol. 54, Issue 4, 2016, pp. 1073-1092. (PDF)

  81. Chowdhury, S., Mehmani, A., Zhang, J. and Messac, A., Market Suitability and Performance Tradeoffs Offered by Commercial Wind Turbines across Differing Wind Regimes, Energies, Vol. 9, Issue 5, 2016, pp. 352. (PDF)

  82. Gomez-Lazaro, E., Bueso, M. C., Kessler, M., Martin-Martinez, S., Zhang, J., Hodge, B.-M. and Molina-Garcia, A., Probability Density Function Characterization for Aggregated Large-Scale Wind Power based on Weibull Mixtures, Energies, Vol. 9, Issue 2, 2016, pp. 91. (PDF)

  83. *Cui, M., Zhang, J., Florita, A., Hodge, B.-M., Ke, D. and Sun, Y., An Optimized Swinging Door Algorithm for Identifying Wind Ramping Events, IEEE Transactions on Sustainable Energy, Vol. 7, Issue 1, 2016, pp. 150-162. (PDF)

  84. Zhang, J., Hodge, B.-M., Lu, S., Hamann, H. F., Lehman, B., Simmons, J., Campos, E., Banunarayanan,V., Black, J. and Tedesco, J., Baseline and Target Values for Regional and Point PV Power Forecasts: Toward Improved Solar Forecasting, Solar Energy, Vol. 122, 2015, pp. 804-819. (PDF)

  85. Zhang, J., Draxl, C., Hopson, T., Delle Monache, L., Vanvyve, E. and Hodge, B.-M., Comparison of Numerical Weather Prediction Based Deterministic and Probabilistic Wind Resource Assessment Methods, Applied Energy, Vol. 156, 2015, pp. 528-541. (PDF)

  86. Zhang, J., Florita, A., Hodge, B.-M., Lu, S., Hamann, H. F., Banunarayanan, V. and Brockway, A., A Suite of Metrics for Assessing the Performance of Solar Power Forecasting, Solar Energy, Vol. 111, 2015, pp. 157-175. (PDF)

  87. *Cui, M., Ke, D., Sun, Y., Gan, D., Zhang, J. and Hodge, B.-M., Wind Power Ramp Event Forecasting Using a Stochastic Scenario Generation Method, IEEE Transactions on Sustainable Energy, Vol. 6, Issue 2, 2015, pp. 422-433. (PDF)

  88. Tong, W., Chowdhury, S., Mehmani, A., Messac, A. and Zhang, J., Sensitivity of Wind Farm Output to Wind Conditions, Land Configuration, and Installed Capacity, under Different Wake Models, Journal of Mechanical Design, Vol. 137, Issue 6, 2015, pp. 061403. (PDF)

  89. Zhang, J., Hodge, B.-M. and Florita, A., Joint Probability Distribution and Correlation Analysis of Wind and Solar Power Forecast Errors in the Western Interconnection, Journal of Energy Engineering (Special Issue on Smart Grid and Emerging Technology Integration), Vol. 141, Issue 1, 2015, B4014008. (PDF)

  90. Zhang, J., Chowdhury, S., Messac, A. and Hodge, B.-M., A Hybrid Measure-Correlate-Predict Method for Long-Term Wind Condition Assessment, Energy Conversion and Management, Vol. 87, 2014, pp. 697-710. (PDF)

  91. Zhang, J., Chowdhury, S. and Messac, A., A Comprehensive Measure of the Energy Resource: Wind Power Potential (WPP), Energy Conversion and Management, Vol. 86, 2014, pp. 388-398. (PDF)

  92. Zhang, J., Chowdhury, S., Mehmani, A. and Messac, A., Characterizing Uncertainty Attributable to Surrogate Models, Journal of Mechanical Design, Vol. 136, Issue 3, 2014, pp. 031004. (PDF)

  93. Chowdhury, S., Zhang, J., Tong, W. and Messac, A., Modeling the Influence of Land-Shape on the Energy Production Potential of a Wind Farm Site, Journal of Energy Resources Technology, Vol.136, Issue 1, 2014, pp. 011203. (PDF)

  94. Song, X., Zhang, J., Kang, S., Ma, M., Li, B., Cao, W. and Pickert, V., Surrogate-Based Analysis and Optimization for the Design of Heat Sinks With Jet Impingement, IEEE Transactions on Components, Packaging, and Manufacturing Technology, Vol. 4, Issue 3, 2014, pp. 429-437. (PDF)

  95. Zhang, J.Q., Messac, A., Zhang, J. and Chowdhury, S., Adaptive Optimal Design of Active Thermoelectric Windows Using Surrogate Modeling, Optimization and Engineering, Vol. 15, Issue 2, 2014, pp. 469-483. (PDF)

  96. Chowdhury, S., Tong, W., Messac, A. and Zhang, J., A Mixed-Discrete Particle Swarm Optimization Algorithm with Explicit Diversity-Preservation, Structural and Multidisciplinary Optimization, Vol. 47, Issue 3, 2013, pp. 367-388. (PDF)

  97. Zhang, J., Chowdhury, S., Messac, A., Zhang, J.Q. and Castillo, L., Adaptive Hybrid Surrogate Modeling for Complex Systems, AIAA Journal, Vol. 51, Issue 3, 2013, pp. 643-656. (PDF)

  98. Chowdhury, S., Zhang, J., Messac, A. and Castillo, L., Optimizing the Arrangement and the Selection of Turbines for Wind Farms Subject to Varying Wind Conditions, Renewable Energy, Vol. 52, 2013, pp. 273-282. (PDF)

  99. Zhang, J., Chowdhury, S., Messac, A. and Castillo, L., A Multivariate and Multimodal Wind Distribution Model, Renewable Energy, Vol. 51, 2013, pp. 436-447. (PDF)

  100. Zhang, J., Chowdhury, S. and Messac, A., An Adaptive Hybrid Surrogate Model, Structural and Multidisciplinary Optimization, Vol. 46, Issue 2, 2012, pp. 223-238. (PDF)

  101. Zhang, J., Chowdhury, S., Messac, A. and Castillo, L., A Response Surface-Based Cost Model for Wind Farm Design, Energy Policy, Vol. 42, 2012, pp. 538-550. (PDF)

  102. Chowdhury, S., Zhang, J., Messac, A. and Castillo, L., Unrestricted Wind Farm Layout Optimization (UWFLO): Investigating Key Factors Influencing the Maximum Power Generation, Renewable Energy, Vol. 38, Issue 1, 2012, pp. 16-30. (PDF) (Best Paper Award)

  103. Messac, A., Chowdhury, S. and Zhang, J., Characterizing and Mitigating the Wind Resource-based Uncertainty in Farm Performance, Journal of Turbulence (special issue on Turbulence and Wind Energy), Vol. 13, Issue 13, 2012, pp. 1-26. (PDF)

Patent Granted (*student or postdoc)

  1. Zhang, J. and *Liu, Y., “J-type Air-Cooled Battery Thermal Management System and Method,” US Patent US11850970B2, 12/2023.

Book and Book Chapters

  1. Book Chapter: Moeini, A., Dabbaghjamanesh, M., Dragicevic, T., Kimball, J. W. and Zhang, J., “Machine Learning Technique for Low-frequency Modulation Techniques in Power Converters,” Book Title: “Control of Power Electronic Converters and Systems, Volume 3,” Elsevier, 2021, pp. 149-167.

  2. Book Chapter: *Sun, M. and Zhang, J., “Data-driven Anomaly Detection in Modern Power Systems,” Book Title: “Security of Cyber-Physical Systems: Vulnerability and Impact,” Springer, 2020, pp. 131-143.

  3. Book Chapter: *Feng, C., *Sun, M., Dabbaghjamanesh, M., *Liu, Y. and Zhang, J., “Advanced Machine Learning Applications to Modern Power Systems,” Book Title: “New Technologies for Power System Operation and Analysis,” Elsevier, 2020, pp. 209-257.

  4. Book Chapter: *Feng, C. and Zhang, J., “Wind Power and Ramp Forecasting for Grid Integration,” Book Title: “Advanced Wind Turbine Technology,” Springer, 2018, pp. 299-315.

  5. Book Chapter: Zhang, Y., Yang, R., Zhang, J., Weng, Y. and Hodge, B.-M., “Predictive Analytics for Comprehensive Energy Systems State Estimation,” Book Title: “Big Data Applications for Power Systems,” Elsevier, 2018, pp. 343-376.

  6. Book Chapter: Ganley, J., Zhang, J., Hodge, B.-M., “Wind Energy,” Book Title: “Alternative Energy Sources and Technologies: Process Design and Operations,” Springer, 2016, pp. 159-180.

Full-length Peer-Reviewed Conference Publications (*student or postdoc)

  1. *Yan, J., Feng, C., Sun, M. and Zhang, J., Short-term Probabilistic Solar Forecasting via Reinforcement Learning over ECMWF, IEEE Power & Energy Society General Meeting, Seattle, WA, July 21-25, 2024. (PDF)

  2. *Li, H., Li, M., Carroll, J. and Zhang, J., Techno-Economic Analysis Incorporating Intelligent Operation and Maintenance Management: A Case Study of An Integrated Offshore Wind and Hydrogen Energy System, The Science of Making Torque from Wind (TORQUE 2024), Florence, Italy, May 29-31, 2024. (PDF)

  3. *Yan, J., *Senemmar and Zhang, J., Inter-turn Short Circuit Fault Diagnosis and Severity Estimation for Wind Turbine Generators, The Science of Making Torque from Wind (TORQUE 2024), Florence, Italy, May 29-31, 2024. (PDF)

  4. *Olojede, D., Uddin, J., *Jacob, R. A., Coskunuzer, B. and Zhang, J., Cyber Attack Detection in Distribution Networks with Topological Data Analytics aided Learning, IEEE Kansas Power and Energy Conference (KPEC), Manhattan, Kansas, April 25 - 26, 2024. (PDF)

  5. *Wang, J., *Kaushik, H. and Zhang, J., Optimal Planning of Electric Vehicle Charging Stations: Integrating Public Charging Networks and Transportation Congestion, IEEE Kansas Power and Energy Conference (KPEC), Manhattan, Kansas, April 25 - 26, 2024. (PDF)

  6. *Kaushik, H., *Jacob, R. A., Chowdhury, S. and Zhang, J., Distribution Network Restoration: Resource Scheduling Considering Coupled Transportation-Power Networks, IEEE Kansas Power and Energy Conference (KPEC), Manhattan, Kansas, April 25 - 26, 2024. (PDF)

  7. Huang, J., Li. B., Poudel, B. and Zhang, J., Optimal Operations of Nuclear-based Integrated Energy Systems with Mixed-Integer Programming, IEEE Texas Power and Energy Conference (TPEC), College Station, TX, Feb 12 - 13, 2024. (PDF)

  8. *Li, H., Feng, C. and Zhang, J., A Multi-Fidelity Gaussian Process Regression Method For Probabilistic Wind Farm Power Curve Estimation, ASME 2023 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Paper No. IDETC2023-114762, Boston, MA, August 20-23, 2023. (PDF)

  9. *Badakhshan, S., *Senemmar, S. and Zhang, J., Dynamic Modeling and Reliable Operation of All-Electric Ships with Small Modular Reactors and Battery Energy Systems, IEEE Electric Ship Technologies Symposium (ESTS), Old Town Alexandria, VA, August 1 - 4, 2023. (PDF)

  10. *Senemmar, S., *Badakhshan, S. and Zhang, J., Dynamic Modeling and Simulation of Thermal-Electrical Energy Systems in MVDC All-Electric Ships with Small Modular Reactors, IEEE Electric Ship Technologies Symposium (ESTS), Old Town Alexandria, VA, August 1 - 4, 2023. (PDF)

  11. *He, L., Zhang, J. and Hobbs, B., Estimation of Regulation Reserve Requirements in California ISO: A Data-driven Method, IEEE Power & Energy Society General Meeting, Orlando, FL, July 16-20, 2023. (Best Paper Award) (PDF)

  12. *Wang, J., *Jacob, R. A., and Zhang, J., Voltage Regulation in Distribution Networks via Fleet Electric Vehicles Incentive Service, 19th International Conference on the European Energy Market, Lappeenranta, Finland, June 6-8, 2023. (PDF)

  13. *Li, H., Kiviluoma, J. and Zhang, J., Techno-Economic Analysis for Co-located Solar and Hydrogen Plants, 19th International Conference on the European Energy Market, Lappeenranta, Finland, June 6-8, 2023. (PDF)

  14. *Badakhshan, S., *Jacob, R. A., Li. B. and Zhang, J., Reinforcement Learning for Intentional Islanding in Resilient Power Transmission Systems, IEEE Texas Power and Energy Conference (TPEC), College Station, TX, Feb 13 - 14, 2023. (PDF)

  15. *He, L. and Zhang, J., Privacy-preserving Local Electricity Market: A Federated Learning-based Case Study, The 54th North American Power Symposium, Salt Lake, Utah, October 9-11, 2022. (PDF)

  16. *Rahman, J., *Jacob, R. A. and Zhang, J., Harnessing Operational Flexibility from Power to Hydrogen in A Grid-Tied Integrated Energy System, ASME 2022 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Paper No. IDETC2022-89621, St. Louis, Missouri, August 14-17, 2022.

  17. Wu, J., Chen, X., Zhang, J. and Wang, P., Optimizing Intentional Islanding Design Strategies for Enhanced Failure Resilience of Power Systems, ASME 2022 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Paper No. IDETC2022-89619, St. Louis, Missouri, August 14-17, 2022.

  18. *Li, H., *Rahman, J. and Zhang, J., Optimal Planning of Co-Located Wind Energy and Hydrogen Plants: A Techno-Economic Analysis, The Science of Making Torque from Wind (TORQUE 2022), Delft, Netherlands, June 1-3, 2022.

  19. *Badakhshan, S., *Senemmar, S., *Li, H. and Zhang, J., Integrating Offshore Wind Farms with Unmanned Hydrogen and Battery Ships, IEEE Kansas Power and Energy Conference (KPEC), Manhattan, Kansas, April 25 - 26, 2022.

  20. *Rahman, J., *Jacob, R. A., Paul, S., Chowdhury, S. and Zhang, J., Reinforcement Learning Enabled Microgrid Network Reconfiguration Under Disruptive Events, IEEE Kansas Power and Energy Conference (KPEC), Manhattan, Kansas, April 25 - 26, 2022.

  21. *Senemmar, S. and Zhang, J., Non-intrusive Load Monitoring in MVDC Shipboard Power Systems using Wavelet-Convolutional Neural Networks, IEEE Texas Power and Energy Conference (TPEC), College Station, TX, Feb 28 - March 1, 2022.

  22. *Badakhshan, S., *Senemmar, S. and Zhang, J., Dynamic Feasibility Assessment of Ship-to-Grid Interconnection by DC-Link, IEEE Texas Power and Energy Conference (TPEC), College Station, TX, Feb 28 - March 1, 2022.

  23. *Jacob, R. A., Paul, S., Li, W., Chowdhury, S., Gel, Y. R. and Zhang, J., Reconfiguring Unbalanced Distribution Networks using Reinforcement Learning over Graphs, IEEE Texas Power and Energy Conference (TPEC), College Station, TX, Feb 28 - March 1, 2022.

  24. *Jacob, R. A., *Rahman, J. and Zhang, J., Dynamic Modeling and Simulation of Integrated Energy Systems with Nuclear, Renewable, and District Heating, The 53rd North American Power Symposium, College Station, Texas, November 14-16, 2021.

  25. *He, L. and Zhang, J., Customized Prices Design for Agent-based Local Energy Market with PV and Energy Storage, The 53rd North American Power Symposium, College Station, Texas, November 14-16, 2021.

  26. Hobbs, B., Krishnan, V., Zhang, J., Hamann, H., Siebenschuh, C., Zhang, R., *Li, B., Krad, I., Spyrou, E., Wang, Y. and Zhang, S., Development of Flexible Ramp Product Procurement for the California ISO using Probabilistic Solar Power Forecasts, Solar World Congress, Virtual, October 25-29, 2021.

  27. *Jacob, R. A., *Senemmar, S. and Zhang, J., Fault Diagnostics in Shipboard Power Systems using Graph Neural Networks, IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, Virtual, August 22-25, 2021.

  28. Li, D., Wu, J., Zhang, J. and Wang, P., Co-Design Optimization of a Combined Heat and Power Hybrid Energy System, ASME 2021 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Paper No. DETC2021-71304, Virtual, August 17-20, 2021.

  29. *Liu, Y. and Zhang, J., Short-Term Vehicle Velocity Forecasting Via Cycle Segmentation Model Selection, ASME 2021 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Paper No. DETC2021-69058, Virtual, August 17-20, 2021. (Top 10 Best Paper Award)

  30. *Senemmar, S. and Zhang, J., Deep Learning-based Fault Detection, Classification, and Locating in Shipboard Power Systems, IEEE Electric Ship Technologies Symposium, Virtual, August 3-6, 2021.

  31. *Jacob, R. A. and Zhang, J., Outage Management in Active Distribution Network with Distributed Energy Resources, The 52nd North American Power Symposium, Tempe, Arizona, April 11-13, 2021.

  32. *Li, B., *Feng, C. and Zhang, J., Multi-Timescale Simulation of Non-Spinning Reserve in Wholesale Electricity Markets, 2021 IEEE Green Technologies Conference (GreenTech), Virtual, April 7-9, 2021.

  33. *Rahman, J. and Zhang, J., Optimization of Nuclear-Renewable Hybrid Energy System Operation in Forward Electricity Market, 2021 IEEE Green Technologies Conference (GreenTech), Virtual, April 7-9, 2021.

  34. *Liu, Y. and Zhang, J., A Model Predictive Control-Based Energy Management Strategy Considering Electric Vehicle Battery Thermal and Cabin Climate Control, ASME 2020 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Paper No. DETC2020-22318, St. Louis, MO, August 16-19, 2020. (Top 10 Best Paper Award)

  35. *He, L. and Zhang, J., Distributed Energy Sharing within Community: A Game-Theoretic Double Auction Approach, IEEE Power & Energy Society General Meeting, Montreal, Canada, August 2-6, 2020.

  36. *Jacob, R. A. and Zhang, J., Distribution Network Reconfiguration to Increase Photovoltaic Hosting Capacity, IEEE Power & Energy Society General Meeting, Montreal, Canada, August 2-6, 2020.

  37. *Feng, C., *Sun, M., Zhang, J., Doubleday, K., Hodge, B.-M. and Du, P., A Data-driven Method for Adaptive Reserve Requirements Estimation via Probabilistic Net Load Forecasting, IEEE Power & Energy Society General Meeting, Montreal, Canada, August 2-6, 2020.

  38. *Rahman, J., *Feng, C. and Zhang, J., Machine Learning-Aided Security Constrained Optimal Power Flow, IEEE Power & Energy Society General Meeting, Montreal, Canada, August 2-6, 2020.

  39. *Sun, M., *Feng, C. and Zhang, J., Factoring Behind-the-Meter Solar into Load Forecasting: Case Studies under Extreme Weather, The Eleventh Conference on Innovative Smart Grid Technologies (ISGT 2020), Washington D.C., February 17-20, 2020.

  40. Dabbaghjamanesh, M. and Zhang, J., Deep Learning-based Real-time Switching of Reconfigurable Microgrids, The Eleventh Conference on Innovative Smart Grid Technologies (ISGT 2020), Washington D.C., February 17-20, 2020.

  41. *Li, B., Zhang, J. and Hobbs, B., A Copula Enhanced Convolution for Uncertainty Aggregation, The Eleventh Conference on Innovative Smart Grid Technologies (ISGT 2020), Washington D.C., February 17-20, 2020.

  42. *Feng, C. and Zhang, J., SolarNet: A Deep Convolutional Neural Network for Solar Forecasting via Sky Images, The Eleventh Conference on Innovative Smart Grid Technologies (ISGT 2020), Washington D.C., February 17-20, 2020.

  43. *Liu, Y. and Zhang, J., Self-Adapting Intelligent Battery Thermal Management System via Artificial Neural Network based Model Predictive Control, ASME 2019 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Paper No. DETC2019-98205, Anaheim, CA, August 18-21, 2019.

  44. *Li, B. and Zhang, J., A Clustering Based Scenario Generation Method for Stochastic Power System Analysis, IEEE Power & Energy Society General Meeting, Atlanta, GA, August 4-8, 2019.

  45. *He, L. and Zhang, J., Distributed Solar Energy Sharing within Connected Communities: A Coalition Game Approach, IEEE Power & Energy Society General Meeting, Atlanta, GA, August 4-8, 2019.

  46. *Sun, M., *Feng, C. and Zhang, J., Aggregated Probabilistic Wind Power Forecasting Based on Spatio-Temporal Correlation, IEEE Power & Energy Society General Meeting, Atlanta, GA, August 4-8, 2019.

  47. Ofori-Boateng, D., Dey, A., Gel, Y. R., *Li, B., Zhang, J., Poor, H. V., Assessing the Resilience of The Texas Power Grid Network, IEEE Data Science Workshop, Minneapolis, MN, June 2-5, 2019.

  48. Dabbaghjamanesh, M., Wang, B., Mehraeen, S., Zhang, J. and Kavousi-Fard, A., Networked Microgrid Security and Privacy Enhancement By the Blockchain-enabled Internet of Things Approach, 2019 IEEE Green Technologies Conference (GreenTech), Lafayette, LA, April 3-6, 2019.

  49. *Li, B., Zhang, J., Mehmani, A. and Culligan, P., Analyze the Break-even Cost of Lithium-ion Battery under Time-of-use Pricing Tariffs, The 10th Conference on Innovative Smart Grid Technologies (ISGT 2019), Washington D.C., February 18-21, 2019.

  50. *Feng, C. and Zhang, J., Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting, The 10th Conference on Innovative Smart Grid Technologies (ISGT 2019), Washington D.C., February 18-21, 2019.

  51. *Liu, Y., Ghassemi, P., Chowdhury, S. and Zhang, J., Surrogate based Multi-objective Optimization of J-Type Battery Thermal Management System, ASME 2018 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Paper No. DETC2018-85620, Quebec City, Canada, August 26-29, 2018.

  52. *Feng, C. and Zhang, J., Short-Term Load Forecasting With Different Aggregation Strategies, ASME 2018 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Paper No. DETC2018-86084, Quebec City, Canada, August 26-29, 2018.

  53. *Feng, C. and Zhang, J., Hourly-Similarity Based Solar Forecasting Using Multi-Model Machine Learning Blending, IEEE Power & Energy Society General Meeting, Portland, OR, August 5-10, 2018.

  54. *Sun, M., *Feng, C., Zhang, J., Chartan, E. and Hodge, B.-M., Probabilistic Short-term Wind Forecasting Based on Pinball Loss Optimization, Probabilistic Methods Applied to Power Systems Conference (PMAPS), Boise, Idaho, June 24-28, 2018.

  55. Zhu, K., Chowdhury, S., *Sun, M. and Zhang, J., Grid Optimization of Shared Energy Storage Among Wind Farms Based On Wind Forecasting, 2018 IEEE PES Transmission & Distribution Conference & Exposition, Denver, CO, April 16-19, 2018.

  56. *Sun, M., *Chang, C.-L., Zhang, J., Mehmani, A. and Culligan, P., Break-even Analysis of Battery Energy Storage in Buildings Considering Time-of-use Rates, 2018 IEEE Green Technologies Conference (GreenTech), Austin, TX, April 4-6, 2018. (Best Paper Award)

  57. *Feng, C., Chartan, E., Hodge, B.-M. and Zhang, J., Characterizing Time Series Data Diversity for Wind Forecasting, The 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2017), Austin, TX, December 5-8, 2017. (Best Student Paper Award)

  58. *Liu, Y., *Li, M. and Zhang, J., An Experimental Parametric Study of Air-Based Battery Thermal Management System for Electric Vehicles, ASME 2017 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Paper No. DETC2017-67841 , Cleveland, Ohio, August 6-9, 2017.

  59. *Cui, M., *Wang, Z., *Feng, C. and Zhang, J., A Truncated Gaussian Mixture Model for Distributions of Wind Power Ramping Features, IEEE Power & Energy Society General Meeting, Chicago, IL, July 16-20, 2017.

  60. *Cui, M., *Feng, C., *Wang, Z., Zhang, J., Wang, Q., Florita, A., Krishnan, V. and Hodge, B.-M., Probabilistic Wind Power Ramp Forecasting Based on a Scenario Generation Method, IEEE Power & Energy Society General Meeting, Chicago, IL, July 16-20, 2017.

  61. *Feng, C., *Cui, M., *Lee, M., Zhang, J., Hodge, B.-M., Lu., S. and Hamann, H. F., Short-term Global Horizontal Irradiance Forecasting Based on Sky Imaging and Pattern Recognition, IEEE Power & Energy Society General Meeting, Chicago, IL, July 16-20, 2017. (Best Paper Award)

  62. *Li, M., *Wang, X., *Liu, Y., *Zou, Z., *Cui, M. and Zhang, J., Multidisciplinary Design Optimization of Air-based Battery Thermal Management System in Electric Vehicles, AIAA Science and Technology Forum and Exposition, Grapevine, Texas, January 9-13, 2017.

  63. Ashuri, T., *Ponnurangam, C., Zhang, J. and Rotea, M., Integrated Layout and Support Structure Optimization for Offshore Wind Farm Design, The Science of Making Torque from Wind (TORQUE 2016), Munich, Germany, October 5-7, 2016.

  64. *Cui, M., Zhang, J., Wu, H., Hodge, B.-M., Ke, D. and Sun, Y., Wind Power Ramping Product for Increasing Power System Flexibility, 2016 IEEE PES Transmission & Distribution Conference & Exposition, Dallas, Texas, May 2-5, 2016.

  65. *Cheung, W., Zhang, J., Florita, A., Lu, S., Sun, Q., Lehman, B., Hamann, H. F., Hodge, B.-M., Ensemble Solar Forecasting Statistical Quantification and Sensitivity Analysis, 5th International Workshop on Integration of Solar Power into Power Systems, Brussels, Belgium, October 19-20, 2015.

  66. Florita, A., Zhang, J., Brancucci Martinez-Anido, C., Cui, M., Hodge, B.-M., Probabilistic Swinging Door Algorithm as Applied to Photovoltaic Power Ramping Event Detection, 5th International Workshop on Integration of Solar Power into Power Systems, Brussels, Belgium, October 19-20, 2015.

  67. *Cui, M., Zhang, J., Florita, A., Hodge, B.-M., Ke, D. and Sun, Y., Solar Power Ramp Events Detection Using An Optimized Swinging Door Algorithm, ASME 2015 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Paper No. DETC2015-46849, Boston, Massachusetts, August 2-5, 2015.

  68. Wu, H., Ela, E., Krad, I., Florita, A., Zhang, J., Hodge, B.-M., Ibanez, E. and Gao, W., An Assessment of the Impact of Stochastic Day-Ahead SCUC on Economic and Reliability Metrics at Multiple Timescales, IEEE Power & Energy Society General Meeting, Denver, Colorado, July 26-30, 2015. (Best Paper Award)

  69. *Cui, M., Zhang, J., Florita, A., Hodge, B.-M., Ke, D. and Sun, Y., An Optimized Swinging Door Algorithm for Wind Power Ramp Events Detection, IEEE Power & Energy Society General Meeting, Denver, Colorado, July 26-30, 2015.

  70. *Cui, M., Sun, Y., Ke, D., Gan, D., Zhang, J. and Hodge, B.-M., A Scenario Generation Method for Wind Power Ramp Events Forecasting, IEEE Power & Energy Society General Meeting, Denver, Colorado, July 26-30, 2015.

  71. Zhang, J., Hodge, B.-M., Lu, S., Hamann, H. F., Lehman, B., Simmons, J., Campos, E. and Banunarayanan, V., Baseline and Target Values for PV Forecasts: Toward Improved Solar Power Forecasting, IEEE Power & Energy Society General Meeting, Denver, Colorado, July 26-30, 2015.

  72. Lu, S., Hwang, Y., Khabibrakhmanov, I., Marianno, F. J., Shao, X., Zhang, J., Hodge, B.-M. and Hamann, H. F., Machine Learning Based Multi-Physical-Model Blending for Enhancing Renewable Energy Forecast Improvement via Situation Dependent Error Correction, European Control Conference, Linz, Austria, July 15-17, 2015.

  73. Zhang, J., Florita, A., Hodge, B.-M. and Freedman, J., Ramp Forecasting Performance from Improved Short-Term Wind Power Forecasting, ASME 2014 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Paper No. DETC2014-34775, Buffalo, New York, August 17-20, 2014.

  74. Zhang, J. and Hodge, B.-M., Forecastability as a Design Criterion in Wind Resource Assessment, 8th International Conference on Foundations of Computer-Aided Process Design, Cle Elum, Washington, July 13-17, 2014.

  75. Zhang, J., Chowdhury, S. and Hodge, B.-M., Analyzing Effects of Turbulence on Power Generation Using Wind Plant Monitoring Data, AIAA Science and Technology Forum and Exposition, Paper No. AIAA 2014-0708, National Harbor, Maryland, January 13-17, 2014.

  76. Zhang, J., Hodge, B.-M., Miettinen, J., Holttinen, H., Gomez-Lazaro, E., Cutululis, N., Litong-Palima, M., Sorensen, P., Lovholm, A. L., Berge, E. and Dobschinski, J., Analysis of Variability and Uncertainty in Wind Power Forecasting: An International Comparison, 12th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants, Paper No. WIW13-1115, London, UK, October 22-24, 2013.

  77. *Steckler, N., Florita, A., Zhang, J. and Hodge, B.-M., Analysis and Synthesis of Load Forecasting Data for Renewable Integration Studies, 12th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants, Paper No. WIW13-1206, London, UK, October 22-24, 2013.

  78. Zhang, J., Hodge, B.-M., Florita, A., Lu, S., Hamann, H. F. and Banunarayanan, V. Metrics for Evaluating the Accuracy of Solar Power Forecasting, 3rd International Workshop on Integration of Solar Power into Power Systems, Paper No. SIW13-1036, London, UK, October 21-22, 2013.

  79. Zhang, J., Chowdhury, S., Messac, A. and Hodge, B.-M., Assessing Long-Term Wind Conditions by Combining Different Measure-Correlate-Predict Algorithms, ASME 2013 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Paper No. DETC2013-12695, Portland, Oregon, August 4-7, 2013.

  80. Tong, W., Chowdhury, S., Mehmani, A., Zhang, J. and Messac, A., Sensitivity of Array-like and Optimized Wind Farm Output to Key Factors and Choice of Wake Models, ASME 2013 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Paper No. DETC2013-13196, Portland, Oregon, August 4-7, 2013.

  81. Zhang, J., Hodge, B.-M. and Florita, A., Investigating The Correlation Between Wind and Solar Power Forecast Errors in The Western Interconnection, ASME 2013 7th International Conference on Energy Sustainability, Paper No. ESFuelCell2013-18423, Minneapolis, MN, July 14-19, 2013.

  82. Mehmani, A., Chowdhury, S., Zhang, J., Tong, W. and Messac, A., Model Selection based on Regional Error Estimation of Surrogates, 10th World Congress on Structural and Multidisciplinary Optimization, Orlando, FL, May 19-24, 2013.

  83. Mehmani, A., Chowdhury, S., Zhang, J., Tong, W. and Messac, A., Quantifying Regional Error in Surrogates by Modeling its Relationship with Sample Density, 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Boston, MA, April 8-11, 2013.

  84. Zhang, J.Q., Chowdhury, S., Zhang, J., Tong, W. and Messac, A., Optimal Preventive Maintenance Time Windows for Offshore Wind Farms Subject to Wake Losses, 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Indianapolis, Indiana, September 17-19, 2012.

  85. Mehmani, A., Chowdhury, S., Zhang, J. and Messac, A., Regional Error Estimation of Surrogates (REES), 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Indianapolis, Indiana, September 17-19, 2012.

  86. Tong, W., Chowdhury, S., Zhang, J. and Messac, A., Impact of Different Wake Models On the Estimation of Wind Farm Power Generation, 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Indianapolis, Indiana, September 17-19, 2012.

  87. Chowdhury, S., Zhang, J., Mehmani, A., Messac, A. and Castillo, L., Exploring the “Cost - Capacity Factor” Tradeoffs Offered by the Best Performing Commercial Turbines, 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Indianapolis, Indiana, September 17-19, 2012.

  88. Zhang, J., Chowdhury, S. and Messac, A., Uncertainty Quantification in Surrogate Models Based on Pattern Classification of Cross-validation Errors, 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Indianapolis, Indiana, September 17-19, 2012.

  89. Chowdhury, S., Zhang, J., Messac, A. and Castillo, L., Characterizing The Influence of Land Area and Nameplate Capacity on The Optimal Wind Farm Performance, ASME 2012 6th International Conference on Energy Sustainability, San Diego, CA, July 23-26, 2012.

  90. Zhang, J., Chowdhury, S., Messac, A. and Castillo, L., A Hybrid Measure-Correlate-Predict Method for Wind Resource Assessment, ASME 2012 6th International Conference on Energy Sustainability, San Diego, CA, July 23-26, 2012.

  91. Hou Y., Sun, Y., Zhang, J., Li, L. and Chen, L., .Investigating The Subjective-Objective Correlation about On-Center Handling Characteristics Using Response Surface Method, 2012 7th International Conference on System of Systems Engineering (SoSE), Genova, Italy, July 16-19, 2012, pp. 784-788.

  92. Zhang, J.Q., Messac, A., Zhang, J. and Chowdhury, S., Improving the Accuracy of Surrogate Models Using Inverse Transform Sampling, 53rd AIAAASMEASCEAHSASC Structures, Structural Dynamics and Materials Conference, Honolulu, Hawaii, April 23-26, 2012.

  93. Chowdhury, S., Zhang, J., Catalano, M., Mehmani, A., Notaro, S., Messac, A. and Castillo, L., Exploring the Best Performing Commercial Wind Turbines for Different Wind Regimes in a Target Market, 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Honolulu, Hawaii, April 23-26, 2012. (Top 6 Best Student Paper Award)

  94. Chowdhury, S., Zhang, J. and Messac, A., Avoiding Premature Convergence in a Mixed-Discrete Particle Swarm Optimization (MDPSO) Algorithm, 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Honolulu, Hawaii, April 23-26, 2012.

  95. Mehmani, A., Zhang, J., Chowdhury, S. and Messac, A., Surrogate-based Design Optimization with Adaptive Sequential Sampling, 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Honolulu, Hawaii, April 23-26, 2012.

  96. Zhang, J., Chowdhury, S. and Messac, A., Domain Segmentation based on Uncertainty in the Surrogate (DSUS), 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Honolulu, Hawaii, April 23-26, 2012.

  97. Zhang, J., Chowdhury, S., Messac, A., Zhang, J.Q and Castillo, L., Surrogate Modeling of Complex Systems Using Adaptive Hybrid Functions, ASME 2011 International Design Engineering Technical Conferences (IDETC) and Computers and Information in Engineering Conference (CIE), Washington, DC, August 28-31, 2011.

  98. Chowdhury, S., Zhang, J., Messac, A. and Castillo, L., Characterizing the Influence of Land Configuration on the Optimal Wind Farm Performance, ASME 2011 International Design Engineering Technical Conferences (IDETC) and Computers and Information in Engineering Conference (CIE), Washington, DC, August 28-31, 2011.

  99. Zhang, J., Chowdhury, S., Messac, A. and Castillo, L., Multivariate and Multimodal Wind Distribution Model Based on Kernel Density Estimation, ASME 2011 5th International Conference on Energy Sustainability, Washington DC, August 7-10, 2011.

  100. Chowdhury, S., Zhang, J., Messac, A. and Castillo, L., Developing a Flexible Platform for the Optimal Design of Commercial-Scale Wind Farms, ASME 2011 5th International Conference on Energy Sustainability, Washington DC, August 7-10, 2011.

  101. Zhang, J., Chowdhury, S., Messac, A. and Castillo, L., A Comprehensive Measure of The Energy Resource Potential of A Wind Farm Site, ASME 2011 5th International Conference on Energy Sustainability, Washington DC, August 7-10, 2011.

  102. Messac, A., Chowdhury, S. and Zhang, J., Modeling the Uncertainty in Farm Performance Introduced by the Ill-predictability of the Wind Resource, 41st AIAA Fluid Dynamics Conference and Exhibit, Honolulu, Hawaii, June 27-30, 2011.

  103. Zhang, J., Chowdhury, S. and Messac, A., A New Robust Surrogate Model: Reliability Based Hybrid Functions, 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Denver, Colorado, April 4-7, 2011.

  104. Chowdhury, S., Zhang, J., Messac, A. and Castillo, L., Characterizing the Uncertainty Propagation from the Wind Conditions to the Optimal Farm Performance, 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Denver, Colorado, April 4-7, 2011.

  105. Zhang, J., Chowdhury, S., Messac, A. and Castillo, L., Economic Evaluation of Wind Farms Based on Cost of Energy Optimization, 13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Fort Worth, Texas, September 13-15, 2010.

  106. Chowdhury, S., Zhang, J., Messac, A. and Castillo, L., Exploring Key Factors Influencing Optimal Farm Design Using Mixed-Discrete Particle Swarm Optimization, 13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Fort Worth, Texas, September 13-15, 2010.

  107. Zhang, J.Q., Messac, A., Chowdhury, S. and Zhang, J., Comparison of Surrogate Models Used for Adaptive Optimal Control of Active Thermoelectric Windows, 13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Fort Worth, Texas, September 13-15, 2010.

  108. Zhang, J., Chowdhury, S., Messac, A., Castillo, L. and Lebron, J., Response Surface Based Cost Model for Onshore Wind Farms Using Extended Radial Basis Functions, ASME 2010 International Design Engineering Technical Conferences (IDETC) and Computers and Information in Engineering Conference (CIE), Paper No. DETC2010-29121, Montreal, Canada, August 15-18, 2010.

  109. Chowdhury, S., Messac, A., Zhang, J., Castillo, L. and Lebron, J., Optimizing the Unrestricted Placement of Turbines of Differing Rotor Diameters in a Wind Farm for Maximum Power Generation, ASME 2010 International Design Engineering Technical Conferences (IDETC) and Computers and Information in Engineering Conference (CIE), Paper No. DETC2010-29129, Montreal, Canada, August 15-18, 2010.

  110. Zhang, J.Q., Messac, A., Chowdhury, S. and Zhang, J., Adaptive Optimal Design of Active Thermally Insulated Windows Using Surrogate Modeling, 51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Orlando, Florida, April 12-15, 2010.

  111. Zhang, J., Zhang, Y., Chen, L. and Yang, J., A fuzzy Synthesis Control Strategy for Active Four-Wheel Steering Based on Multi-body models, SAE World Congress & Exhibition, Paper No. SAE2008-01-0603, Detroit, MI, April 14-17, 2008..

  112. Zhang, J. and Zhang, Y., Fractional-order PID Control and Optimization For Vehicle Active Steering, Proceedings of the 7th. World Congress on Intelligent Control and Automation, Chongqing, China, June 25 - 27, 2008.

  113. Hou, Y., Zhang, J., Zhang, Y. and Chen, L., Integrated Chassis Control Using ANFIS, 2008 IEEE International Conference on Automation and Logistics, Qingdao, China, September 1-3, 2008, pp. 1625-1630.

  114. Zhang, J., Zhang, Y., Chen, L. and Yang, J., A Fuzzy Control Strategy and Optimization for Four Wheel Steering System, 2007 IEEE International Conference on Vehicular Electronics and Safety, Beijing, China, October 12-15, 2007.

Technical Reports

  1. Jascourt, S., Doubleday, K., Zhang, J., *Feng, C., Florita, A., and Hodge, B.-M., Solar Uncertainty Management and Mitigation for Exceptional Reliability in Grid Operations (SUMMER-GO), NREL Technical Report: NREL/TP-6A40-84147, April 2023.

  2. *Wang, J. and Zhang, J., Plug and Play Hydrogen Microgrid, Technical Report: ARL-CR-0872, September 2022.

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