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dc.contributor.authorBasnet, Saurav Man Singh
dc.contributor.authorAburub, Haneen Mohammad Dawoud
dc.contributor.authorJewell, Ward T.
dc.date.accessioned2016-10-11T10:16:09Z
dc.date.available2016-10-11T10:16:09Z
dc.date.issued2015
dc.identifier.citationS. M. Basnet, H. Aburub and W. Jewell, "Effect of demand response on residential energy efficiency with direct load control and dynamic price control," PowerTech, 2015 IEEE Eindhoven, Eindhoven, 2015, pp. 1-6en_US
dc.identifier.isbn978-1-4799-7695-9
dc.identifier.otherWOS:000380546800246
dc.identifier.urihttp://dx.doi.org/10.1109/PTC.2015.7232479
dc.identifier.urihttp://hdl.handle.net/10057/12466
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractA demand response program designed to mitigate peak load during hot summer days has been designed. Pacific Northwest National Laboratory (PNNL) developed taxonomy distribution feeder has been used to evaluate the effectiveness of the demand response program. The simulation includes direct load control, dynamic price control, residential PV penetration and their comparisons. The results will help guide companies that are using demand response for peak reduction, and should help increase consumer participation in such programs.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2015 IEEE Eindhoven PowerTech;
dc.subjectDemand responseen_US
dc.subjectPeak demanden_US
dc.subjectDirect load controlen_US
dc.subjectDynamic price controlen_US
dc.subjectArtificial neural networken_US
dc.subjectCost benefit analysis and renewable portfolio standarden_US
dc.titleEffect of demand response on residential energy efficiency with direct load control and dynamic price controlen_US
dc.typeConference paperen_US
dc.rights.holder© Copyright 2016 IEEE - All rights reserved.en_US


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