| Fundamentals and business model for resource aggregator of demand response in electricity markets X Lu, K Li, H Xu, F Wang, Z Zhou, Y Zhang Energy 204, 117885, 2020 | 267 | 2020 |
| The values of market-based demand response on improving power system reliability under extreme circumstances F Wang, H Xu, T Xu, K Li, M Shafie-Khah, JPS Catalão Applied Energy 193, 220 - 231, 2017 | 234 | 2017 |
| Online Identification of Power System Equivalent Inertia Constant J Zhang, H Xu IEEE Transactions on Industrial Electronics 64 (10), 8098 - 8107, 2017 | 163 | 2017 |
| Optimal Tap Setting of Voltage Regulation Transformers Using Batch Reinforcement Learning H Xu, A Domínguez-García, P Sauer IEEE Transactions on Power Systems 35 (3), 1990 - 2001, 2020 | 155 | 2020 |
| Deep Reinforcement Learning for Joint Bidding and Pricing of Load Serving Entity H Xu, H Sun, D Nikovski, S Kitamura, K Mori, H Hashimoto IEEE Transactions on Smart Grid, 2019 | 117 | 2019 |
| Data-driven Voltage Regulation in Radial Power Distribution Systems H Xu, A Domínguez-García, V Veeravalli, P Sauer IEEE Transactions on Power Systems 35 (3), 2133 - 2143, 2020 | 102 | 2020 |
| Optimal sizing and control of battery energy storage system for peak load shaving C Lu, H Xu, X Pan, J Song Energies 7 (12), 8396 - 8410, 2014 | 101 | 2014 |
| Power System Parameter Attack for Financial Profits in Electricity Markets H Xu, Y Lin, X Zhang, F Wang IEEE Transactions on Smart Grid 11 (4), 3438 - 3446, 2020 | 73 | 2020 |
| Optimal Joint Bidding and Pricing of Profit-seeking Load Serving Entity H Xu, K Zhang, J Zhang IEEE Transactions on Power Systems 33 (5), 5427 - 5436, 2018 | 39 | 2018 |
| Deep reinforcement learning for adaptive learning systems X Li, H Xu, J Zhang, H Chang Journal of Educational and Behavioral Statistics, 2022 | 33 | 2022 |
| Data-driven Coordination of Distributed Energy Resources for Active Power Provision H Xu, A Domínguez-García, P Sauer IEEE Transactions on Power Systems 34 (4), 3047 - 3058, 2019 | 28 | 2019 |
| Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning H Xu, X Li, X Zhang, J Zhang https://arxiv.org/abs/1904.12232, 2019 | 25 | 2019 |
| A Data-driven Voltage Control Framework for Power Distribution Systems H Xu, A Domínguez-García, P Sauer IEEE PES General Meeting, 2018 | 21 | 2018 |
| Capacity optimization of battery energy storage systems for frequency regulation X Pan, H Xu, J Song, C Lu IEEE International Conference on Automation Science and Engineering, 1139 - 1144, 2015 | 21 | 2015 |
| Optimal Hierarchical Learning Path Design with Reinforcement Learning X Li, H Xu, J Zhang, H Chang Applied Psychological Measurement 45 (1), 54-70, 2021 | 19 | 2021 |
| Microperturbation Method for Power System Online Model Identification J Zhang, H Xu IEEE Transactions on Industrial Informatics 12 (3), 1055 - 1063, 2016 | 14 | 2016 |
| Offer Strategies for Wholesale Energy and Regulation Markets D Fooladivanda, H Xu, A Domínguez-García, S Bose IEEE Transactions on Power Systems 33 (6), 7305 - 7308, 2018 | 12 | 2018 |
| Identifying Security Vulnerabilities in Electricity Market Operations Induced by Weakly Detectable Network Parameter Errors Y Lin, A Abur, H Xu IEEE Transactions on Industrial Informatics 17 (1), 627 - 636, 2020 | 11 | 2020 |
| An adaptive wind power smoothing method with energy storage system H Xu, C Wang, C Lu, Z Lu IEEE PES General Meeting, 2014 | 11 | 2014 |
| Learning Dynamical Demand Response Model in Real-Time Pricing Program H Xu, H Sun, D Nikovski, K Shoichi, K Mori IEEE PES Innovative Smart Grid Technologies Conference, 2019 | 10 | 2019 |
