File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Load forecasting of hybrid electric vehicles under real time pricing

TitleLoad forecasting of hybrid electric vehicles under real time pricing
Authors
Wong, YSChau, KTChan, CC
KeywordsHybrid electric vehicle
Pricing
Issue Date2005
PublisherAsian Electric Vehicle Society. The Journal's web site is located at http://www.elec.eng.osaka-cu.ac.jp/aevc/
Citation
Journal of Asian Electric Vehicles, 2005, v. 3 n. 2, p. 815-818 How to Cite?
DOI: http://dx.doi.org/10.4130/jaev.3.815
AbstractThis paper presents a generalized formulation to forecast the loads of Plug-in hybrid electric vehicles. With this method, utilities can implement customer-oriented pricing strategy to influence the load profiles and the amount of electricity demand. The pricing strategy increases customer satisfaction and produces desired changes in the utility's system load shape. The pricing strategy incorporates utilities and customer requirements into integrated planning procedures. A case study is conducted to illustrate the application of the load forecasting method.
Persistent Identifierhttp://hdl.handle.net/10722/74080
ISSN
1348-3927

 

DC FieldValueLanguage
dc.contributor.authorWong, YSen_HK
dc.contributor.authorChau, KTen_HK
dc.contributor.authorChan, CCen_HK
dc.date.accessioned2010-09-06T06:57:36Z-
dc.date.available2010-09-06T06:57:36Z-
dc.date.issued2005en_HK
dc.identifier.citationJournal of Asian Electric Vehicles, 2005, v. 3 n. 2, p. 815-818en_HK
dc.identifier.issn1348-3927-
dc.identifier.urihttp://hdl.handle.net/10722/74080-
dc.description.abstractThis paper presents a generalized formulation to forecast the loads of Plug-in hybrid electric vehicles. With this method, utilities can implement customer-oriented pricing strategy to influence the load profiles and the amount of electricity demand. The pricing strategy increases customer satisfaction and produces desired changes in the utility's system load shape. The pricing strategy incorporates utilities and customer requirements into integrated planning procedures. A case study is conducted to illustrate the application of the load forecasting method.-
dc.languageengen_HK
dc.publisherAsian Electric Vehicle Society. The Journal's web site is located at http://www.elec.eng.osaka-cu.ac.jp/aevc/-
dc.relation.ispartofJournal of Asian Electric Vehiclesen_HK
dc.subjectHybrid electric vehicle-
dc.subjectPricing-
dc.titleLoad forecasting of hybrid electric vehicles under real time pricingen_HK
dc.typeArticleen_HK
dc.identifier.emailWong, YS: yswong@eee.hku.hken_HK
dc.identifier.emailChau, KT: ktchau@eee.hku.hken_HK
dc.identifier.emailChan, CC: ccchan@eee.hku.hk-
dc.identifier.authorityChau, KT=rp00096en_HK
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.4130/jaev.3.815-
dc.identifier.hkuros118922en_HK
dc.identifier.volume3-
dc.identifier.issue2-
dc.identifier.spage815-
dc.identifier.epage818-
dc.identifier.issnl1348-3927-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats