Revenue optimization in energy networks involving self-scheduled demand and a smart grid

DOI10.1016/j.cor.2021.105366OpenAlexW3170912669MaRDI QIDQ2669487

Luce Brotcorne, Sezin Afsar, Patrice Marcotte, Gilles Savard

Publication date: 9 March 2022

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2021.105366

zbMATH Keywords

demand responsemixed integer bilevel programmingday ahead pricing

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

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Inverse Mixed Integer Optimization: Polyhedral Insights and Trust Region Methods ⋮ Loads scheduling for demand response in energy communities

Cites Work

• A semivectorial bilevel programming approach to optimize electricity dynamic time-of-use retail pricing
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