Electrical energy demand prediction: A comparison between genetic programming and decision tree

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Date
2020
Author
Danandeh Mehr, A.
Bagheri, F.
Safari, M.J.S.
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Abstract
Several recent studies have used various data mining techniques to obtain accurate electrical energy demand forecasts in power supply systems. This paper, for the first time, compares the efficiency of the decision tree (DT) and classic genetic programmin
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086766157&doi=10.35378%2fgujs.554463&partnerID=40&md5=e95e8786bbf8c932b7abe7714fcaee33
https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9702
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