Adaptive energy scheduling strategy for port logistics systems: A dual-consolidation continual reinforcement learning approach

Journal:

Applied Energy

Published:

2026-02-01

DOI:

10.1016/j.apenergy.2025.127169

Affiliations:

3

Authors:

6

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Institutions	Authors	Share
MOE Key Laboratory of Road and Traffic Engineering, Tongji University, China	5.000000	0.83
Peking University (PKU), China	0.500000	0.08
Massachusetts Institute of Technology (MIT), United States of America (USA)	0.500000	0.08

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