Managing load contract restrictions with online learning

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dc.contributor.authorHenríquez Auba, Rodrigo Marti
dc.contributor.authorLesage-Landry, A.
dc.contributor.authorTaylor, J. A.
dc.contributor.authorOlivares Quero, Daniel
dc.contributor.authorNegrete Pincetic, Matías Alejandro
dc.date.accessioned2022-05-13T19:15:19Z
dc.date.available2022-05-13T19:15:19Z
dc.date.issued2017
dc.description.abstractDemand Response (DR) is an effective means of providing flexibility in power systems facing increased variability from renewables. Aggregators must dispatch loads for demand response which provide the most useful services while respecting each load's constraints. In this work, we propose an online learning model where a DR aggregator has to manage a portfolio of curtailable loads subject to several types of restrictions, such as the number of times each load may be curtailed and the total budget. We address this problem with the recent bandits with knapsacks framework. We test the algorithm on numerical examples and discuss the resulting behavior of the algorithm.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/GlobalSIP.2017.8309118
dc.identifier.isbn978-1509059904
dc.identifier.urihttps://doi.org/10.1109/GlobalSIP.2017.8309118
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8309118
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63888
dc.information.autorucEscuela de ingeniería ; Henríquez Auba, Rodrigo Marti ; S/I ; 185559
dc.information.autorucEscuela de ingeniería ; Olivares Quero, Daniel ; S/I ; 1013843
dc.information.autorucEscuela de ingeniería ; Negrete Pincetic, Matías Alejandro ; S/I ; 13212
dc.language.isoen
dc.nota.accesoContenido parcial
dc.publisherIEEE
dc.relation.ispartofIEEE Global Conference on Signal and Information Processing (2017 : Montreal, Canadá)
dc.rightsacceso restringido
dc.subjectLoad modeling
dc.subjectContracts
dc.subjectRandom variables
dc.subjectPower systems
dc.subjectLoad management
dc.subjectPortfolios
dc.subjectStochastic processes
dc.titleManaging load contract restrictions with online learninges_ES
dc.typecomunicación de congreso
sipa.codpersvinculados185559
sipa.codpersvinculados1013843
sipa.codpersvinculados13212
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