Real-Time Microgrid Energy Scheduling Using Meta-Reinforcement Learning

Real-Time Microgrid Energy Scheduling Using Meta-Reinforcement Learning

With the rapid development of renewable energy and the increasing maturity of energy storage technology, microgrids are quickly becoming popular worldwide. The stochastic scheduling problem of microgrids can increase operational costs and resource wastage. In order to reduce operational costs and op...

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Bibliographic Details
Main Authors: Huan Shen, Xingfa Shen, Yiming Chen
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Energies
Subjects:
microgrid
energy management
meta-learning
reinforcement learning
online scheduling
Online Access:https://www.mdpi.com/1996-1073/17/10/2367

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https://www.mdpi.com/1996-1073/17/10/2367

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