A double horizon peak demand forecast model

Assimakopoulos, V; Psarras, J

dc.contributor.author	Assimakopoulos, V	en
dc.contributor.author	Psarras, J	en
dc.date.accessioned	2014-03-01T01:08:37Z
dc.date.available	2014-03-01T01:08:37Z
dc.date.issued	1992	en
dc.identifier.issn	0140-9883	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10605
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0026445806&partnerID=40&md5=32b0dcc121a5a341005ce6cdc7f41e6b	en
dc.subject	Peak demand	en
dc.subject	Short-term forecasting	en
dc.subject	Time-series features	en
dc.subject.classification	Economics	en
dc.subject.other	demand forecasting	en
dc.subject.other	double horizon model	en
dc.subject.other	electricity generation	en
dc.subject.other	forecast model	en
dc.subject.other	peak demand	en
dc.subject.other	simulation model	en
dc.subject.other	utility industry	en
dc.subject.other	Greece	en
dc.title	A double horizon peak demand forecast model	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1992	en
heal.abstract	System peak demand forecasting is of considerable interest to electric utility companies and a wide range of models have already been developed. This paper focuses on analysing the behaviour of monthly peak demand in Greece for the period January 1970-December 1988 and produces a rather simple forecasting model that captures the identified features of the data pattern. The special elements of the proposed model are the merging of yearly and monthly horizons and the combined use of econometric and time-series techniques. An out of sample comparison for 1989 proves the efficiency of the model for peak demand short-term forecasting. © 1992.	en
heal.publisher	BUTTERWORTH-HEINEMANN LTD	en
heal.journalName	Energy Economics	en
dc.identifier.isi	ISI:A1992HL23000003	en
dc.identifier.volume	14	en
dc.identifier.issue	2	en
dc.identifier.spage	103	en
dc.identifier.epage	106	en