reviewTop 1% cited
Reinforcement learning for demand response: A review of algorithms and modeling techniques
Applied Energy · 2018 · Vol. 235 · pp. 1072–1089
José R. Vázquez-Canteli(The University of Texas at Austin)Zoltán Nagy✉(The University of Texas at Austin)
Smart Grid Energy ManagementBuilding Energy and Comfort OptimizationMicrogrid Control and OptimizationDemand responseReinforcement learningSmart gridPeak demandFlexibility (engineering)Computer scienceDemand patternsHVACDemand managementIncentive
Citations
770
FWCI
32.22
field-weighted impact
References
204
Percentile
100%
vs. same field & year
Citations per year
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References
Q-learning
Machine Learning · 1992 · 8,916 citations
Technical Note: Q-Learning
Machine Learning · 1992 · 3,640 citations
Demand response and smart grids—A survey
Renewable and Sustainable Energy Reviews · 2013 · 2,269 citations
A global review of energy consumption, CO 2 emissions and policy in the residential sector (with an overview of the top ten CO 2 emitting countries)
Renewable and Sustainable Energy Reviews · 2014 · 1,894 citations
Reinforcement Learning: An Introduction
IEEE Transactions on Neural Networks · 2005 · 25,702 citations
Reinforcement Learning: An Introduction
IEEE Transactions on Neural Networks · 1998 · 26,808 citations
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