A Discount-Based Time-of-Use Electricity Pricing Strategy for Demand Response With Minimum Information Using Reinforcement Learning

Demand Response (DR) programs show great promise for energy saving and load profile flattening. They bring about an opportunity for indirect control of end-users’ demand based on different price policies. However, the difficulty in characterizing the price-responsive behavior of customers is...

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Principais autores:	Alejandro Fraija, Kodjo Agbossou, Nilson Henao, Sousso Kelouwani, Michael Fournier, Sayed Saeed Hosseini
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2022-01-01
Colecção:	IEEE Access
Assuntos:	Demand response demand response aggregator time-of-use tariffs reinforcement learning
Acesso em linha:	https://ieeexplore.ieee.org/document/9775945/
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