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Multiobjective home energy management systems in nearly-zero energy buildings under uncertainties considering vehicle-to-home: A novel lexicographic-based stochastic-information gap decision theory approach

dc.contributor.authorTostado-Véliz, Marcos
dc.contributor.authorHasanien, Hany M.
dc.contributor.authorKamel, Salah
dc.contributor.authorTurky, Rania A.
dc.contributor.authorJurado, Francisco
dc.contributor.authorElkadeem, M.R.
dc.date.accessioned2024-12-17T12:59:01Z
dc.date.available2024-12-17T12:59:01Z
dc.date.issued2023-01-15
dc.description.abstractResidential sector is being promoted to evolve towards nearly-Zero Energy Buildings (nZEBs), which draw a yearly net energy consumption near zero. This target can be attained through on-site renewable generation, achieving high efficiency in consumption. In this context, Home Energy Management (HEM) systems become an indispensable tool for obtaining optimally coordinating smart appliances, renewable generation, and on-site storage facilities. Due to the high unpredictability of renewable generation and some emerging appliances like electric vehicles, these tools must be able to deal with different uncertainties properly. At the same time, a variety of objectives are jointly considered. The existing approaches commonly fail to deal jointly with these two premises. This paper aims to fill this gap by developing a novel solution for HEM systems in nZEBs. The proposed procedure uses lexicographic optimization to find a compromise solution among objectives. At the same time, the variety of uncertainties caused by unpredictable weather, demand, energy pricing, and electric vehicle behavior is adequately modeled using a hybrid stochastic-Information Gap Decision Theory (IGDT) approach. The mathematical modeling is sufficiently comprehensive (comprising various energy sources and vehicle-to-home capability) and tractable due to its integer-linear structure. A case study on a benchmark nearly zero energy home is considered to validate the developed approach, which its results reveal its effectiveness in terms of minimizing various objective functions while the degree of robustness is preserved and the whole procedure is efficient yet.es_ES
dc.identifier.citationMarcos Tostado-Véliz, Hany M. Hasanien, Salah Kamel, Rania A. Turky, Francisco Jurado, M.R. Elkadeem, Multiobjective home energy management systems in nearly-zero energy buildings under uncertainties considering vehicle-to-home: A novel lexicographic-based stochastic-information gap decision theory approach, Electric Power Systems Research, Volume 214, Part B, 2023, 108946, ISSN 0378-7796, https://doi.org/10.1016/j.epsr.2022.108946.es_ES
dc.identifier.issn0378-7796es_ES
dc.identifier.other10.1016/j.epsr.2022.108946es_ES
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0378779622009956es_ES
dc.identifier.urihttps://hdl.handle.net/10953/3544
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.ispartofElectric Power Systems Research [2023]; [214]: [108946]es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectHome energy managementes_ES
dc.subjectMultiobjective optimizationes_ES
dc.subjectNearly zero energy buildingses_ES
dc.subjectUncertaintieses_ES
dc.subjectVehicle-to-homees_ES
dc.titleMultiobjective home energy management systems in nearly-zero energy buildings under uncertainties considering vehicle-to-home: A novel lexicographic-based stochastic-information gap decision theory approaches_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_ES

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