An attempt to improve the forecasting ability of growth functions. The Greek electric system

Skiadas, CH; Papayannakis, LL; Mourelatos, AG

dc.contributor.author	Skiadas, CH	en
dc.contributor.author	Papayannakis, LL	en
dc.contributor.author	Mourelatos, AG	en
dc.date.accessioned	2014-03-01T01:09:17Z
dc.date.available	2014-03-01T01:09:17Z
dc.date.issued	1993	en
dc.identifier.issn	0040-1625	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10877
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0027718487&partnerID=40&md5=20aa1c09039f142545bb451903a12903	en
dc.subject.classification	Business	en
dc.subject.classification	Planning & Development	en
dc.subject.other	electricity demand	en
dc.subject.other	forecasting technique	en
dc.subject.other	growth function	en
dc.subject.other	logistic function	en
dc.subject.other	socio-economic factor	en
dc.subject.other	Greece	en
dc.title	An attempt to improve the forecasting ability of growth functions. The Greek electric system	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1993	en
heal.abstract	The use of growth functions to forecast the parameters of large-scale systems is discussed, and the application of realted growth models to the Greek electric energy system is undertaken. The possibility of correlating the saturation level of the Greek electricity demand to some socioeconomic variables such as the gross domestic product, investments, and relative electric price is examined. Using these correlations, the forecasting ability of the logistic function is found to be improved, and the results of the modified logistic function are compared to those of some other well-known growth functions. © 1993.	en
heal.publisher	ELSEVIER SCIENCE INC	en
heal.journalName	Technological Forecasting and Social Change	en
dc.identifier.isi	ISI:A1993MH59300004	en
dc.identifier.volume	44	en
dc.identifier.issue	4	en
dc.identifier.spage	391	en
dc.identifier.epage	404	en