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Deep reinforcement learning for online scheduling of photovoltaic systems with battery energy storage systems

A new online scheduling algorithm is proposed for photovoltaic (PV) systems with battery-assisted energy storage systems (BESS). The stochastic nature of renewable energy sources necessitates the employment of BESS to balance energy supplies and demands under uncertain weather conditions. The propos...

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Autori principali: Yaze Li, Jingxian Wu, Yanjun Pan
Natura: Artigo
Lingua:Inglês
Pubblicazione: Tsinghua University Press 2024-03-01
Serie:Intelligent and Converged Networks
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Accesso online:https://www.sciopen.com/article/10.23919/ICN.2024.0003
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