Determining of Solar Power by Using Machine Learning Methods in a Specified Region

Determining of Solar Power by Using Machine Learning Methods in a Specified Region

In this study, it is aimed to estimate the solar power according to the hourly meteorological data of the specified location measured between 2002 and 2006 by using different Machine Learning (ML) algorithms. Data Mining Processes (DMP) were used to select the most appropriate input variables from t...

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Bibliographic Details
Main Authors: A. Burak Guher, Sakir Tasdemir, Bulent Yaniktepe*
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021-01-01
Series:Tehnički Vjesnik
Subjects:
data mining processes
machine learning
optimal data analysis
solar power
Online Access:https://hrcak.srce.hr/file/380186

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