Coordinated energy management for a cluster of buildings through deep reinforcement learning

Giuseppe Pinto, Marco Savino Piscitelli, José Ramón Vázquez-Canteli, Zoltán Nagy and Alfonso Capozzoli

Energy, 2021, vol. 229, issue C

Abstract: Advanced control strategies can enable energy flexibility in buildings by enhancing on-site renewable energy exploitation and storage operation, significantly reducing both energy costs and emissions. However, when the energy management is faced shifting from a single building to a cluster of buildings, uncoordinated strategies may have negative effects on the grid reliability, causing undesirable new peaks.

Keywords: Coordinated energy management; Deep reinforcement learning; Building energy flexibility; Peak demand reduction; Grid interaction (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (23)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:229:y:2021:i:c:s0360544221009737

DOI: 10.1016/j.energy.2021.120725

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