An electricity demand long term forecasting model for south europe based on economic parameters

dc.contributor.author	Σαμαράκου, Μαρία Τ.	el
dc.contributor.author	Φυλλαδιτάκης, Εμμανουήλ Δ.	el
dc.date.accessioned	2015-06-07T17:18:11Z
dc.date.available	2015-06-07T17:18:11Z
dc.date.issued	2015-06-07
dc.identifier.uri	http://hdl.handle.net/11400/15502
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.researchgate.net/publication/236677553_An_electricity_demand_long_term_forecasting_model_for_south_Europe_based_on_economic_parameters	en
dc.subject	διαχείρισης της ζήτησης
dc.subject	προμήθεια ηλεκτρικής ενέργειας
dc.subject	ενεργειακός σχεδιασμός
dc.subject	χρήση της ενέργειας
dc.subject	μέθοδος πρόβλεψης
dc.subject	Demand-side management
dc.subject	Electricity supply
dc.subject	energy planning
dc.subject	energy use
dc.subject	forecasting method
dc.title	An electricity demand long term forecasting model for south europe based on economic parameters	en
heal.type	journalArticle
heal.classification	Περιβαλλοντικές επιστήμες
heal.classification	Ενέργεια
heal.classification	Environmental sciences
heal.classification	Energy
heal.classificationURI	N/A-Περιβαλλοντικές επιστήμες
heal.classificationURI	N/A-Ενέργεια
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh92004048
heal.classificationURI	http://zbw.eu/stw/descriptor/14175-2
heal.keywordURI	http://zbw.eu/stw/descriptor/10211-2
heal.keywordURI	http://zbw.eu/stw/descriptor/18361-6
heal.identifier.secondary	ISSN: 1054853X
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Ενεργειακής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2012
heal.bibliographicCitation	Samarakou, M. and Fylladitakis, E.D. (2012) An Electricity Demand Long Term Forecasting Model for South Europe Based on Economic Parameters. International Journal of Energy, Environment and Economics. [Online] 20 (6), pp.517-534. Available from: http://www.researchgate.net [Accessed 07/06/2015]	en
heal.abstract	Electricity demand forecasting is an imperative tool for the planning and operation of electric utilities. With today's uncertainty and turbulent economies, the development of long term forecasting models requires careful consideration. The mixed forecasting model proposed in this paper was developed for the long term electricity demand forecasting for the countries of south Europe andis capable of determining the per person annual electricity demand by using economic variables alone. The forecasting model displays excellent fit to historic data for all four of the countries under study, namely Greece, Spain, Portugal and Italy, the four of which were hit the hardest by the latest economic recession. Furthermore, the economic variable's coefficients need not to be recalculated for each country as the proposed model was developed in order to fit the electricity consumption profiles of all 4 countries. Finally, additional investigations revealed that the proposed model also fits the historic data of countries in central Europe, with the variable coefficients still unchanged.	en
heal.publisher	Nova Science Publishers, Inc.	en
heal.journalName	International Journal of Energy, Environment and Economics	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	false