Optimal Operation and Bidding Strategy of a Virtual Power Plant Integrated with Energy Storage Systems and Elasticity Demand Response WJTHT Yang IEEE Access, 12, 2019 | 132 | 2019 |
Machine learning approach to uncovering residential energy consumption patterns based on socioeconomic and smart meter data W Tang, H Wang, XL Lee, HT Yang Energy 240, 122500, 2022 | 72 | 2022 |
Placement of fault current limiters in a power system through a two-stage optimization approach HT Yang, WJ Tang, PR Lubicki IEEE Transactions on Power Systems 33 (1), 131-140, 2017 | 60 | 2017 |
Data mining and neural networks based self-adaptive protection strategies for distribution systems with DGs and FCLs WJ Tang, HT Yang Energies 11 (2), 426, 2018 | 26 | 2018 |
An analytical polytope approximation aggregation of electric vehicles considering uncertainty for the day-ahead distribution network dispatching J Jian, M Zhang, Y Xu, W Tang, S He IEEE Transactions on Sustainable Energy 15 (1), 160-172, 2023 | 16 | 2023 |
Nonparametric multivariate probability density forecast in smart grids with deep learning Z Meng, Y Guo, W Tang, H Sun IEEE Transactions on Power Systems 38 (5), 4900-4915, 2022 | 12 | 2022 |
Adaptive segmentation and machine learning based potential DR capacity analysis WJ Tang, YS Wu, HT Yang 2018 18th International Conference on Harmonics and Quality of Power (ICHQP …, 2018 | 11 | 2018 |
Self-adaptive protection strategies for distribution system with DGs and FCLs based on data mining and neural network WJ Tang, HT Yang 2017 IEEE International Conference on Environment and Electrical Engineering …, 2017 | 11 | 2017 |
Varying condition SCOPF based on deep learning and knowledge graph S Liu, Y Guo, W Tang, H Sun, W Huang, J Hou IEEE Transactions on Power Systems 38 (4), 3189-3200, 2022 | 9 | 2022 |
Data-driven online interactive bidding strategy for demand response KC Lee, HT Yang, W Tang Applied Energy 319, 119082, 2022 | 8 | 2022 |
Leveraging socioeconomic information and deep learning for residential load pattern prediction WJ Tang, XL Lee, H Wang, HT Yang 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 1-5, 2019 | 8 | 2019 |
Deep reinforcement learning for competitive DER pricing problem of virtual power plants Z Xu, Y Guo, H Sun, W Tang, W Huang CSEE Journal of Power and Energy Systems, 2023 | 6 | 2023 |
Overcurrent protection strategies for distribution system with distributed energy resources and fault current limiters WJ Tang, HT Yang, CC Tsai, P Lubicki 2016 IEEE International Conference on Power System Technology (POWERCON), 1-6, 2016 | 6 | 2016 |
Placement of fault current limiters in power systems by HFLS sorting and HIGA optimization approach HT Yang, WJ Tang, C Wang, P Lubicki, S Wang Proceedings of the International Conference on Power Systems Transients …, 2015 | 6 | 2015 |
A novel allocation strategy based on the model predictive control of primary frequency regulation power for multiple distributed energy storage aggregators T Mao, S He, Y Guan, M Liu, W Zhao, T Wang, W Tang Energies 16 (17), 6140, 2023 | 5 | 2023 |
An adaptive charging scheduling for electric vehicles using multiagent reinforcement learning XL Lee, HT Yang, W Tang, AN Toosi, E Lam International Conference on Service-Oriented Computing, 273-286, 2021 | 4 | 2021 |
Mid-short term industrial demand response strategy-case study for a steel mill W Tang, LL Liou, HT Yang 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 4 | 2020 |
Electric Vehicle Charging Load Prediction Based on User Portrait S He, W Tang, P Huang, X Li, Q Xiao 2023 6th Asia Conference on Energy and Electrical Engineering (ACEEE), 365-371, 2023 | 2 | 2023 |
Feature-enhanced deep learning method for electric vehicle charging demand probabilistic forecasting of charging station T Cao, Y Xu, G Liu, S Tao, W Tang, H Sun Applied Energy 371, 123751, 2024 | 1 | 2024 |
Optimal Bidding Strategy of Electric Vehicle Aggregators in Energy, Frequency Regulation and Demand Response Market W Tang, S He, Y Zhao, M Xu, Y Guo 2023 IEEE 7th Conference on Energy Internet and Energy System Integration …, 2023 | 1 | 2023 |