A low-complexity decision model for home energy management systems

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dc.contributor.authorSalgado, Marcelo
dc.contributor.authorNegrete-Pincetic, Matias
dc.contributor.authorLorca, Alvaro
dc.contributor.authorOlivares, Daniel
dc.date.accessioned2025-01-20T22:18:59Z
dc.date.available2025-01-20T22:18:59Z
dc.date.issued2021
dc.description.abstractA low-complexity decision model for a Home Energy Management System is proposed to follow demand trajectory sets received from a Demand Side Response aggregator. This model is designed to reduce its computational complexity and being solved by low performance processors using available Single-Board Computers as a proof of concept. To decrease the computational complexity is proposed a two-stage model, where the first stage evaluates the hourly appliance scheduling using a relaxed set of restrictions, and the second stage evaluates a reduced set of appliances in a intra-hourly interval with a detailed characterization of the scheduled appliance properties. Simulations results show the effectiveness of the proposed algorithm to follow trajectories for different sets of home appliances and operational conditions. For the studied cases, the model presents deviations in the demand for the 3.2% of the cases in the first-stage and a 12% for the second-stage model. Results show that the proposed model can schedule available appliances according to the demand aggregator requirements in a limited solving time with diverse hardware.
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.apenergy.2021.116985
dc.identifier.eissn1872-9118
dc.identifier.issn0306-2619
dc.identifier.urihttps://doi.org/10.1016/j.apenergy.2021.116985
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/94584
dc.identifier.wosidWOS:000663303000007
dc.language.isoen
dc.revistaApplied energy
dc.rightsacceso restringido
dc.subjectHome energy management system
dc.subjectDemand response
dc.subjectLoad following
dc.subjectDemand aggregator
dc.subject.ods07 Affordable and Clean Energy
dc.subject.odspa07 Energía asequible y no contaminante
dc.titleA low-complexity decision model for home energy management systems
dc.typeartículo
dc.volumen294
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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