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IEEE INTERNET OF THINGS JOURNAL, 10(9), 7545–7553. https://doi.org/10.1109/JIOT.2022.3173488 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 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 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 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. (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). 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. (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 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. 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