Wenyuan Tang Ahmad, T., Zhou, N., Zhang, Z., & Tang, W. (2024). Enhancing Probabilistic Solar PV Forecasting: Integrating the NB-DST Method with Deterministic Models. ENERGIES, 17(10). https://doi.org/10.3390/en17102392 Liu, H., & Tang, W. (2024). Multi-objective bi-level programs for optimal microgrid planning considering actual BESS lifetime based on WGAN-GP and info-gap decision theory. JOURNAL OF ENERGY STORAGE, 89. https://doi.org/10.1016/j.est.2024.111510 Zhang, J., Ding, L., Lu, X., & Tang, W. (2023). A Novel Real-Time Control Approach for Sparse and Safe Frequency Regulation in Inverter Intensive Microgrids. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 59(5), 5550–5558. https://doi.org/10.1109/TIA.2023.3291353 Shirsat, A., Muthukaruppan, V., Hu, R., Paduani, V. D., Xu, B., Song, L., … Tang, W. (2023). A Secure and Adaptive Hierarchical Multi-Timescale Framework for Resilient Load Restoration Using a Community Microgrid. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 14(2), 1057–1075. https://doi.org/10.1109/TSTE.2023.3251099 Hu, R., Shirsat, A., Muthukaruppan, V., Li, Y., Zhang, S., Tang, W., … Lu, N. (2024). Adaptive cold-load pickup considerations in 2-stage microgrid unit commitment for enhancing microgrid resilience. APPLIED ENERGY, 356. https://doi.org/10.1016/j.apenergy.2023.122424 Liu, H., & Tang, W. (2023). [Review of Quantum computing for power systems: Tutorial, review, challenges, and prospects]. ELECTRIC POWER SYSTEMS RESEARCH, 223. https://doi.org/10.1016/j.epsr.2023.109530 Du, Y., Lu, X., & Tang, W. (2022). Accurate Distributed Secondary Control for DC Microgrids Considering Communication Delays: A Surplus Consensus-Based Approach. IEEE TRANSACTIONS ON SMART GRID, 13(3), 1709–1719. https://doi.org/10.1109/TSG.2022.3141395 Yin, C., Wang, J., Tang, W., Li, G., & Zhou, M. (2023). Health-Aware Energy Management Strategy Toward Internet of Storage. IEEE INTERNET OF THINGS JOURNAL, 10(9), 7545–7553. https://doi.org/10.1109/JIOT.2022.3173488 Liang, J., & Tang, W. (2022). Ultra-Short-Term Spatiotemporal Forecasting of Renewable Resources: An Attention Temporal Convolutional Network-Based Approach. IEEE TRANSACTIONS ON SMART GRID, 13(5), 3798–3812. https://doi.org/10.1109/TSG.2022.3175451 Hu, R., Li, Y., Zhang, S., Shirsat, A., Muthukaruppan, V., Tang, W., … Lu, N. (2021). A Load Switching Group based Feeder-level Microgrid Energy Management Algorithm for Service Restoration in Power Distribution System. 2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM). https://doi.org/10.1109/PESGM46819.2021.9638231 Wang, X., & Tang, W. (2021). A Self-Reported Baseline Demand Response Program for Mitigation of Baseline Manipulation. 2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM). https://doi.org/10.1109/PESGM46819.2021.9638109 Wang, X., DSouza, K., Tang, W., & Baran, M. (2021). Assessing the Impact of High Penetration PV on the Power Transformer Loss of Life on a Distribution System. 2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGY EUROPE (ISGT EUROPE 2021), pp. 323–327. https://doi.org/10.1109/ISGTEUROPE52324.2021.9640091 Shirsat, A., & Tang, W. (2021). Data-Driven Stochastic Model Predictive Control for DC-Coupled Residential PV-Storage Systems. IEEE TRANSACTIONS ON ENERGY CONVERSION, 36(2), 1435–1448. https://doi.org/10.1109/TEC.2021.3061360 Shirsat, A., Muthukaruppan, V., Hu, R., Lu, N., Baran, M., Lubkeman, D., & Tang, W. (2021). Hierarchical Multi-timescale Framework For Operation of Dynamic Community Microgrid. 2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM). https://doi.org/10.1109/PESGM46819.2021.9638104 Wang, X., & Tang, W. (2022). Modeling and Analysis of Baseline Manipulation in Demand Response Programs. IEEE TRANSACTIONS ON SMART GRID, 13(2), 1178–1186. https://doi.org/10.1109/TSG.2021.3137098 Shirsat, A., & Tang, W. (2021). Quantifying residential demand response potential using a mixture density recurrent neural network. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 130. https://doi.org/10.1016/j.ijepes.2021.106853 Liang, J., & Tang, W. (2020). Interval based transmission contingency-constrained unit commitment for integrated energy systems with high renewable penetration. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 119. https://doi.org/10.1016/j.ijepes.2020.105853 Liang, J., & Tang, W. (2021). Scenario Reduction for Stochastic Day-Ahead Scheduling: A Mixed Autoencoder Based Time-Series Clustering Approach. IEEE TRANSACTIONS ON SMART GRID, 12(3), 2652–2662. https://doi.org/10.1109/TSG.2020.3047759 Liang, J., & Tang, W. (2020). Stochastic multistage co-planning of integrated energy systems considering power-to-gas and the cap-and-trade market. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 119. https://doi.org/10.1016/j.ijepes.2020.105817 Liang, J., Shirsat, A., & Tang, W. (2020). Sustainable community based PV-storage planning using the Nash bargaining solution. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 118. https://doi.org/10.1016/j.ijepes.2019.105759 Wang, J., Zhong, H., Qin, J., Tang, W., Rajagopal, R., Xia, Q., & Kang, C. (2019). Incentive mechanism for sharing distributed energy resources. Journal of Modern Power Systems and Clean Energy. https://doi.org/10.1007/s40565-019-0518-5 Liang, J., & Tang, W. (2020). Sequence Generative Adversarial Networks for Wind Power Scenario Generation. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 38(1), 110–118. https://doi.org/10.1109/JSAC.2019.2952182 Wang, J., Zhong, H., Tang, W., Rajagopal, R., Xia, Q., & Kang, C. (2018). Tri-Level Expansion Planning for Transmission Networks and Distributed Energy Resources Considering Transmission Cost Allocation. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 9(4), 1844–1856. https://doi.org/10.1109/TSTE.2018.2816937 Tang, W., & Jain, R. (2018). Aggregating Correlated Wind Power With Full Surplus Extraction. IEEE Transactions on Smart Grid, 9(6), 6030–6038. https://doi.org/10.1109/tsg.2017.2702655 Wang, J., Zhong, H., Tang, W., Rajagopal, R., Xia, Q., Kang, C., & Wang, Y. (2017). Optimal bidding strategy for microgrids in joint energy and ancillary service markets considering flexible ramping products. Applied Energy, 205, 294–303. https://doi.org/10.1016/j.apenergy.2017.07.047 Tang, W., & Jain, R. (2016). Dynamic Economic Dispatch Game: The Value of Storage. IEEE Transactions on Smart Grid, 7(5), 2350–2358. https://doi.org/10.1109/tsg.2015.2495146 Tang, W., & Jain, R. (2015). Market Mechanisms for Buying Random Wind. IEEE Transactions on Sustainable Energy, 6(4), 1615–1623. https://doi.org/10.1109/tste.2015.2460745 Tang, W., & Jain, R. (2012). Hierarchical Auction Mechanisms for Network Resource Allocation. IEEE Journal on Selected Areas in Communications, 30(11), 2117–2125. https://doi.org/10.1109/jsac.2012.121204 Tang, W., & Jain, R. (2012). Hierarchical Auctions for Network Resource Allocation. In R. Jain & R. Kannan (Eds.), Game Theory for Networks. GameNets 2011 (pp. 11–26). https://doi.org/10.1007/978-3-642-30373-9_2