Yiyan Li

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

Jia, Q., Li, Y., Yan, Z., Xu, C., & Chen, S. (2022). A Reinforcement-learning-based Bidding Strategy for Power Suppliers with Limited Information. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 10(4), 1032–1039. https://doi.org/10.35833/MPCE.2020.000495

Huang, C., Han, D., Yan, Z., Li, Y., Sun, C., & Jia, Q. (2022). Bidding strategy of energy storage in imperfectly competitive flexible ramping market via system dynamics method. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 136. https://doi.org/10.1016/j.ijepes.2021.107722

Jia, Q., Chen, S., Li, Y., & Yan, Z. (2022). Deviation insurance for Risk-Averse wind power producers in the Nordic power market. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 134. https://doi.org/10.1016/j.ijepes.2021.107431

Han, D., Huang, W., Ren, H., Zhao, W., & Li, Y. (2022). Machine learning analytics for virtual bidding in the electricity market. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 143. https://doi.org/10.1016/j.ijepes.2022.108489

Jia, Q., Chen, S., Yan, Z., & Li, Y. (2022). Optimal Incentive Strategy in Cloud-Edge Integrated Demand Response Framework for Residential Air Conditioning Loads. IEEE TRANSACTIONS ON CLOUD COMPUTING, 10(1), 31–42. https://doi.org/10.1109/TCC.2021.3118597

Song, L., Li, Y., & Lu, N. (2022). ProfileSR-GAN: A GAN Based Super-Resolution Method for Generating High-Resolution Load Profiles. IEEE TRANSACTIONS ON SMART GRID, 13(4), 3278–3289. https://doi.org/10.1109/TSG.2022.3158235

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

Li, Y., Zhang, S., Hu, R., & Lu, N. (2021). A meta-learning based distribution system load forecasting model selection framework. APPLIED ENERGY, 294. https://doi.org/10.1016/j.apenergy.2021.116991