Application of diffusion models to forecast industrial energy demand

Skiadas, CH; Papagiannakis, L; Mourelatos, A

dc.contributor.author	Skiadas, CH	en
dc.contributor.author	Papagiannakis, L	en
dc.contributor.author	Mourelatos, A	en
dc.date.accessioned	2014-03-01T01:12:38Z
dc.date.available	2014-03-01T01:12:38Z
dc.date.issued	1997	en
dc.identifier.issn	8755-0024	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12182
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0031220669&partnerID=40&md5=38ba4666dd4192b179d36433d89aaca8	en
dc.subject	Diffusion models, price-adjusted logistic functions	en
dc.subject	Energy policy	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.classification	Mathematics, Applied	en
dc.subject.other	Costs	en
dc.subject.other	Economic and social effects	en
dc.subject.other	Energy conservation	en
dc.subject.other	Energy policy	en
dc.subject.other	Energy utilization	en
dc.subject.other	Functions	en
dc.subject.other	Geographical regions	en
dc.subject.other	Industrial applications	en
dc.subject.other	Industrial economics	en
dc.subject.other	Taxation	en
dc.subject.other	Diffusion models	en
dc.subject.other	Greece	en
dc.subject.other	Greek industry	en
dc.subject.other	Industrial energy demand	en
dc.subject.other	Price adjusted logistic functions	en
dc.subject.other	Mathematical models	en
dc.title	Application of diffusion models to forecast industrial energy demand	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1997	en
heal.abstract	Energy-efficient technologies were first used by a few large industrial units, but as energy prices have increased the population of potential adopters has expanded. The paper tries to analyse industrial energy demand in Greece in the period 1978-1991. Energy consumption of energy-intensive and non-energy-intensive industries is examined and the parameters influencing its change are considered. Price-adjusted diffusion models are used to explain the series of energy intensity. The results of the models are useful for formulating energy policy for promoting energy-saving technologies in Greek industry. (C) 1998 John Wiley & Sons, Ltd.	en
heal.publisher	JOHN WILEY & SONS LTD	en
heal.journalName	Applied Stochastic Models and Data Analysis	en
dc.identifier.isi	ISI:000073854100023	en
dc.identifier.volume	13	en
dc.identifier.issue	3-4	en
dc.identifier.spage	357	en
dc.identifier.epage	367	en