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• W2893113448 abstract "Demand response has been used as a technique to influence the behavior of energy consumers to reduce their energy consumption based on participation in incentive-based or event-driven programs. In this paper, a Markov Decision Process is proposed as a decision making framework to study the behavior of energy consumers under different energy pricing policies utilizing rewards and/or penalties. Numerical results show that a combination of both rewards and penalties in the energy pricing policy offer the ideal reduction in power demand averaged over 30 minutes during high peak period." @default.
• W2893113448 created "2018-10-05" @default.
• W2893113448 creator A5025832436 @default.
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• W2893113448 date "2018-07-01" @default.
• W2893113448 modified "2023-10-14" @default.
• W2893113448 title "Demand Response Planning Tool using Markov Decision Process" @default.
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• W2893113448 doi "https://doi.org/10.1109/indin.2018.8472098" @default.
• W2893113448 hasPublicationYear "2018" @default.
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