Design of artificial neural network models for the prediction of the Hellenic energy consumption

Karampelas, P; Vita, V; Pavlatos, C; Mladenov, V; Ekonomou, L

dc.contributor.author	Karampelas, P	en
dc.contributor.author	Vita, V	en
dc.contributor.author	Pavlatos, C	en
dc.contributor.author	Mladenov, V	en
dc.contributor.author	Ekonomou, L	en
dc.date.accessioned	2014-03-01T02:52:23Z
dc.date.available	2014-03-01T02:52:23Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35891
dc.subject	Artificial Neural Network	en
dc.subject	Capital Investment	en
dc.subject	Energy Consumption	en
dc.subject	linear functionals	en
dc.subject	Market Research	en
dc.subject	Power System	en
dc.subject	Structure Learning	en
dc.subject	Neural Network Model	en
dc.subject	Transfer Function	en
dc.title	Design of artificial neural network models for the prediction of the Hellenic energy consumption	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/NEUREL.2010.5644049	en
heal.identifier.secondary	http://dx.doi.org/10.1109/NEUREL.2010.5644049	en
heal.publicationDate	2010	en
heal.abstract	Energy consumption predictions are essential and are required in the studies of capacity expansion, energy supply strategy, capital investment, revenue analysis and market research management. In the recent years artificial neural networks (ANN) have attracted much attention and many interesting ANN applications have been reported in power system areas, due to their computational speed, their ability to handle complex non-linear	en
heal.journalName	Seminar on Neural Network Applications in Electrical Engineering	en
dc.identifier.doi	10.1109/NEUREL.2010.5644049	en