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related 2.58 — strongly supporting 3 facts
Reinforcement learning is utilized as a computational technique to optimize demand response strategies, as evidenced by its application in residential energy management [1], heat pump control [2], and device-based control systems [3]. Furthermore, the intersection of these fields is the subject of comprehensive academic reviews [4] and [5].
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A comprehensive overview on demand side energy management ... link.springer.com 3 facts
referenceWen et al. (2015) developed an optimal demand response strategy using device-based reinforcement learning, published in IEEE Transactions on Smart Grid.
referenceVázquez-Canteli and Nagy published the paper 'Reinforcement learning for demand response: a review of algorithms and modeling techniques' in Applied Energy in 2019.
referenceVázquez-Canteli and Nagy (2019) reviewed reinforcement learning algorithms and modeling techniques for demand response in the article 'Reinforcement learning for demand response: a review of algorithms and modeling techniques' published in Applied Energy.