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

Journal:

Applied Energy

Published:

2025-12-01

DOI:

10.1016/j.apenergy.2025.126468

Affiliations:

6

Authors:

7

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Institutions	Authors	Share
Northeast Electric Power University (NEEPU), China	2.000000	0.29
Huazhong University of Science and Technology (HUST), China	1.000000	0.14
University of Liverpool, United Kingdom (UK)	1.000000	0.14
The Hong Kong University of Science and Technology (HKUST), China	1.000000	0.14
City University of Hong Kong (CityU), China	1.000000	0.14
Illinois Institute of Technology (IIT), United States of America (USA)	1.000000	0.14

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