Long term energy consumption forecasting using genetic programming

dc.contributor.author	Karabulut, K.
dc.contributor.author	Alkan, A.
dc.contributor.author	Yilmaz, A.S.
dc.date.accessioned	2021-01-25T20:52:06Z
dc.date.available	2021-01-25T20:52:06Z
dc.date.issued	2008
dc.identifier	10.3390/mca13020071
dc.identifier.issn	1300686X
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-39549086785&doi=10.3390%2fmca13020071&partnerID=40&md5=0e2faa11a72252fe46f694b39018bb29
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10751
dc.description.abstract	Managing electrical energy supply is a complex task. The most important part of electric utility resource planning is forecasting of the future load demand in the regional or national service area. This is usually achieved by constructing models on relati
dc.language.iso	English
dc.publisher	Mathematical and Computational Applications
dc.title	Long term energy consumption forecasting using genetic programming
dc.type	Article
dc.relation.firstpage	71
dc.relation.lastpage	80
dc.relation.volume	13
dc.relation.issue	2
dc.description.affiliations	Department of Computer Engineering, Yasar University, 35500 Izmir, Turkey; Department of Electrical and Electronics Engineering, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey

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