Reward shaping-based deep reinforcement learning for look-ahead dispatch with rolling-horizon

Reward shaping-based deep reinforcement learning for look-ahead dispatch with rolling-horizon

The increasing penetration of renewable energy exacerbates the challenges in designing an effective and adaptable model-driven Look-ahead Dispatch (LAD) method. Recently, deep reinforcement learning (DRL) methods show enormous potential in developing a dispatching agent with self-learning ability, a...

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Bibliographic Details
Main Authors: Hongsheng Xu, Yungui Xu, Ke Wang, Yaping Li, Abdullah Al Ahad
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:International Journal of Electrical Power & Energy Systems
Subjects:
Look-ahead dispatch
Rolling-horizon
Deep reinforcement learning
Reward shaping
Soft actor-critic
Online Access:http://www.sciencedirect.com/science/article/pii/S0142061525002248
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