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Dynamic residential load scheduling based on adaptive consumption level pricing scheme

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dc.citedby37
dc.contributor.authorHaider H.T.en_US
dc.contributor.authorSee O.H.en_US
dc.contributor.authorElmenreich W.en_US
dc.contributor.authorid57038392900en_US
dc.contributor.authorid16023044400en_US
dc.contributor.authorid6505948861en_US
dc.date.accessioned2023-05-29T06:12:25Z
dc.date.available2023-05-29T06:12:25Z
dc.date.issued2016
dc.descriptionCosts; Domestic appliances; Electric power transmission networks; Electric utilities; Energy utilization; Housing; Sales; Scheduling; Demand response; Dynamic pricing; Information and Communication Technologies; Load scheduling; Smart grid; Smart power gridsen_US
dc.description.abstractDemand response (DR) for smart grids, which intends to balance the required power demand with the available supply resources, has been gaining widespread attention. The growing demand for electricity has presented new opportunities for residential load scheduling systems to improve energy consumption by shifting or curtailing the demand required with respect to price change or emergency cases. In this paper, a dynamic residential load scheduling system (DRLS) is proposed for optimal scheduling of household appliances on the basis of an adaptive consumption level (CL) pricing scheme (ACLPS). The proposed load scheduling system encourages customers to manage their energy consumption within the allowable consumption allowance (CA) of the proposed DR pricing scheme to achieve lower energy bills. Simulation results show that employing the proposed DRLS system benefits the customers by reducing their energy bill and the utility companies by decreasing the peak load of the aggregated load demand. For a given case study, the proposed residential load scheduling system based on ACLPS allows customers to reduce their energy bills by up to 53% and to decrease the peak load by up to 35%. � 2015 Elsevier B.V. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.epsr.2015.12.007
dc.identifier.epage35
dc.identifier.scopus2-s2.0-84953237864
dc.identifier.spage27
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84953237864&doi=10.1016%2fj.epsr.2015.12.007&partnerID=40&md5=b1eb8754e2abe6ec73097d3de394921b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22814
dc.identifier.volume133
dc.publisherElsevier Ltden_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitleElectric Power Systems Research
dc.titleDynamic residential load scheduling based on adaptive consumption level pricing schemeen_US
dc.typeArticleen_US
dspace.entity.typePublication
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