Peipei Yu

Shanghai University of Electric Power — China

Engineering · Physical Sciences

9h-index277citations27works3.52yr avg
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Research Topics

Smart Grid Energy Management(18), Energy Load and Power Forecasting(9), Microgrid Control and Optimization(7), Building Energy and Comfort Optimization(6), Integrated Energy Systems Optimization(4)

Publications27 total

Data-Driven and Knowledge-Based Digital Twin Modeling for Distributed PV Systems
2025
Safe reinforcement learning for power system control: A review
Renewable and Sustainable Energy Reviews·2025· 21 cited
Fundamentals of constraint learning and its application in deterministic energy system operation problems
Elsevier eBooks·2025
Distributed Event-Triggered Control of District Cooling Systems for the Frequency Regulation Service of Islanded Microgrids With Quantization Communication
IEEE Transactions on Sustainable Energy·2025
Training-efficient intrinsic-motived reinforcement learning control for energy systems with soft operation constraint
Elsevier eBooks·2025
Introduction
Elsevier eBooks·2025
CVaR-based safe reinforcement learning control for energy systems without formula of hard operation constraints
Elsevier eBooks·2025
Barrier function-based safe reinforcement learning control for energy systems with partially formulable hard operation constraint
Elsevier eBooks·2025
Physical layer-based safe reinforcement learning control for energy systems with accurate formula of hard operation constraints
Elsevier eBooks·2025
A Review of the Reinforcement Learning for Wind Farm Operation and Control
2024
Voltage control of distribution grid with district cooling systems based on scenario-classified reinforcement learning
Applied Energy·2024· 9 cited
Safe dynamic optimization of automatic generation control via imitation-based reinforcement learning
Frontiers in Energy Research·2024· 1 citedOpen Access
District Cooling System Control for Providing Operating Reserve Based on Safe Deep Reinforcement Learning
2024
Safe Reinforcement Learning for Power System Control: A Review
arXiv (Cornell University)·2024· 5 citedOpen Access
Adaptive Tie-Line Power Smoothing With Renewable Generation Based on Risk-Aware Reinforcement Learning
IEEE Transactions on Power Systems·2024· 17 cited
Wind Power Forecasting: LSTM-Combined Deep Reinforcement Learning Approach
2023· 4 cited
Reinforcement Learning-based District Cooling System Control for Voltage Regulation in Distribution Networks
2023
Adversarial false data injection attacks on deep learning‐based short‐term wind speed forecasting
IET Renewable Power Generation·2023· 8 citedOpen Access
District cooling system control for providing regulation services based on safe reinforcement learning with barrier functions
Applied Energy·2023· 21 cited
District Cooling System Control for Providing Operating Reserve Based on Safe Deep Reinforcement Learning
IEEE Transactions on Power Systems·2023· 47 cited
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Frequent Co-authors

Hongcai Zhang(22), Yonghua Song(20), Hongxun Hui(7), Ge Chen(7), Ningyi Dai(3), Zhenyi Wang(3), Chao Huang(2), Zechun Hu(2), Pierluigi Siano(1), Yi Ding(1), Huanli Dong(1), Liang Ji(1), Wei Jiang(1), Lei Yang(1), Gaoshen Liang(1), Yanrong Yang(1), Jiaqi Ruan(1), Chao Yang(1), Yang Wang(1), Xinhao Lin(1)