Concepedia

Safe-AutoSAC: AutoML-enhanced safe deep reinforcement learning for integrated energy system scheduling with multi-channel informer forecasting and electric vehicle demand response

Yang Li, Yuanzheng Li, Chao Long, Sen Li, Zhaoyang Dong, Mohammad Shahidehpour

Applied Energy · 2025 · 17 citations · 44 references

Concepts

EngineeringSystems EngineeringElectric Vehicle EngineeringEnergy SystemsMachine LearningDemand ResponseEnergy Demand ForecastingEnergy Management SystemsEnergy System ModelingLoad ForecastingReinforcement LearningDeep Learning-based ForecastingDeep Reinforcement LearningDemand Response SchedulingElectric Load ForecastingElectric Vehicle Demand ResponseIntegrated Energy Demand ForecastingReinforcement Learning For SchedulingSafe Reinforcement Learning

References

44

MizAR 60 for Mizar 50

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2023 · 76.3K citations · Full text

Computing, Computer Science, Computational Linguistics +14

Modeling of Load Demand Due to EV Battery Charging in Distribution Systems

Kejun Qian, Chengke Zhou, Malcolm Allan et al. · IEEE Transactions on Power Systems · 2010 · 1.3K citations

Engineering, Electrical Engineering, Systems Engineering +17

Coordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems With an Electric Vehicle Charging Station: A Bi-Level Approach

Yang Li, Meng Han, Zhen Yang et al. · IEEE Transactions on Sustainable Energy · 2021 · 580 citations · Full text

Management, Industrial Engineering, Operations Management +17

Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning

Hepeng Li, Zhiqiang Wan, Haibo He · IEEE Transactions on Smart Grid · 2019 · 421 citations · Full text

Management, Decision Sciences, Machine Learning +16

Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems

Wang Wei, Nanpeng Yu, Yuanqi Gao et al. · IEEE Transactions on Smart Grid · 2019 · 310 citations

Engineering, Electrical Engineering, Machine Learning +16