Reinforcement Learning for Energy-Storage Systems in Grid-Connected Microgrids: An Investigation of Online vs. Offline Implementation

Grid-connected microgrids consisting of renewable energy sources, battery storage, and load require an appropriate energy management system that controls the battery operation. Traditionally, the operation of the battery is optimised using 24 h of forecasted data of load demand and renewable energy...

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書誌詳細

主要な著者:	Khawaja Haider Ali, Marvin Sigalo, Saptarshi Das, Enrico Anderlini, Asif Ali Tahir, Mohammad Abusara
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2021-09-01
シリーズ:	Energies
主題:	reinforcement learning (RL) microgrid battery management offline and online RL optimisation
オンライン･アクセス:	https://www.mdpi.com/1996-1073/14/18/5688
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