Developing Prediction System For Solar Power Plant Using Machine
Learning Algorithms

dc.contributor.author	Uzun, Yusuf
dc.date.accessioned	2021-12-15T10:45:52Z
dc.date.available	2021-12-15T10:45:52Z
dc.date.issued	2020
dc.identifier.issn	2147-3129
dc.identifier.issn	2147-3188
dc.identifier.uri	https://app.trdizin.gov.tr/makale/TXpjNE1EUXpNdz09/developing-prediction-system-for-solar-power-plant-using-machine-learning-algorithms
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/3030
dc.description.abstract	The use of renewable energy sources in the production of electricity has become inevitable in order to reduce thegreenhouse gases left in the atmosphere that cause the Earth to warm up. Although countries on a national basishave implemented a number of po
dc.description.abstract	Dünya'nın ısınmasına neden olan atmosfere bırakılan sera gazlarını azaltmak için elektrik üretiminde yenilenebilir enerji kaynaklarının kullanılması kaçınılmaz hale gelmiştir. Ulusal bazda olan ülkeler, yenilenebilir enerji kaynaklarından üretilen elekt
dc.language.iso	English
dc.source	Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
dc.title	Developing Prediction System For Solar Power Plant Using Machine Learning Algorithms
dc.identifier.issue	2
dc.identifier.startpage	747
dc.identifier.endpage	755
dc.identifier.volume	9

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