Wind Driven Optimization With Smart Home Battery for Power Scheduling Problem in Smart Home

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dc.authoridAbasi, Ammar Kamal/0000-0003-0725-6167
dc.authoridMakhadmeh, Sharif N/0000-0002-2894-7998
dc.authoridAwadallah, Mohammed A./0000-0002-7815-8946
dc.authoridAlyasseri, Zaid Abdi Alkareem/0000-0003-4228-9298
dc.authoridAl-Betar, Mohammed Azmi/0000-0003-1980-1791
dc.authoridALOMARI, OSAMA/0000-0002-1135-5750
dc.contributor.authorMakhadmeh, Sharif Naser
dc.contributor.authorAl-Betar, Mohammed Azmi
dc.contributor.authorAbasi, Ammar Kamal
dc.contributor.authorAwadallah, Mohammed A.
dc.contributor.authorAlyasseri, Zaid Abdi Alkareem
dc.contributor.authorAlomari, Osama Ahmad
dc.contributor.authorAbu Doush, Iyad
dc.date.accessioned2024-09-11T19:51:57Z
dc.date.available2024-09-11T19:51:57Z
dc.date.issued2021
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.descriptionPalestinian International Conference on Information and Communication Technology (PICICT) -- SEP 28-29, 2021 -- Gaza, PALESTINEen_US
dc.description.abstractThe power scheduling problem in smart home (PSPSH) refers to schedule smart appliances at suitable times in accordance with pricing system(s). Smart appliances can be rearranged and scheduled by moving their operation times from one period to another. Such a process aims to decrease the electricity bill and the power demand at peak periods and improve user satisfaction. Different optimization approaches were proposed to address PSPSH, where metaheuristics are the most common methods. In this paper, wind-driven optimization (WDO) is adapted to handle PSPSH and optimize its objectives. Smart home battery (SHB) is modelled and used to improve the schedules by storing power at off-peak periods and using the stored power at peak periods. In the simulation results, the proposed approach proves its efficiency in reducing electricity bills and improving user satisfaction. In addition, WDO is compared with bacterial foraging optimization algorithm (BFOA) to evaluate and investigate its performance. WDO outperforms BFOA in optimizing PSPSH objectives.en_US
dc.description.sponsorshipPaltel,Islam Univ Gaza, Fac Informat Technol,Al Aqsa Univ, Fac Comp & Informat Technolen_US
dc.identifier.doi10.1109/PICICT53635.2021.00026
dc.identifier.endpage87en_US
dc.identifier.isbn978-1-6654-3651-9
dc.identifier.scopus2-s2.0-85124011500en_US
dc.identifier.startpage82en_US
dc.identifier.urihttps://doi.org/10.1109/PICICT53635.2021.00026
dc.identifier.urihttps://hdl.handle.net/11363/7871
dc.identifier.wosWOS:000852817600014en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2021 Palestinian International Conference on Information And Communication Technology (Picict 2021)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.subjectOptimizationen_US
dc.subjectPower Scheduling Problem in Smart Homeen_US
dc.subjectWind Driven Optimizationen_US
dc.subjectSmart Home Batteryen_US
dc.titleWind Driven Optimization With Smart Home Battery for Power Scheduling Problem in Smart Homeen_US
dc.typeConference Objecten_US

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