Determining of Solar Power by Using Machine Learning Methods in a Specified Region
Yazarlar (3)
A. Burak Guher
University Of Osmaniye Korkut Ata, Türkiye
University Of Osmaniye Korkut Ata, Türkiye
Prof. Dr. Şakir TAŞDEMİR Selçuk Üniversitesi, Türkiye
Prof. Dr. Bulent Yaniktepe Osmaniye Korkut Ata University, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Tehnicki Vjesnik (Q3) | ||
| Dergi ISSN | 1330-3651 Dergi Bilgileri (2021) | ||
| Dergi Tarandığı Indeksler | scopus | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2021 |
| Cilt / Sayı / Sayfa | 28 / 5 / 1471–1479 | DOI | 10.17559/TV-20200425151543 |
| Makale Linki | http://dx.doi.org/10.17559/tv-20200425151543 | ||
| UAK Araştırma Alanları |
Yapay Zeka
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| Özet |
| 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 these measured data. Data groups created using DMP were evaluated according to three different ML algorithms such as Artificial Neural Network (ANN), Support Vector Regression (SVR) and K-Nearest Neighbors (KNN). It can be concluded that DMP-ML based prediction models are more successful than models developed using all available data. The most successful model developed among these models estimated the hourly solar power potential with an accuracy of 97%. Also, different error measurement statistics were used to evaluate ML algorithms. According to Symmetric Mean Absolute Percentage Error, 6.12%, 7.22% and 12.72% values were found in the most successful prediction models developed using ANN, KNN and SVR, respectively. In addition, from the meteorological data used in this study the most effective data on solar power as a result of DMP were shown to be Temperature and Hourly Sunshine Duration. |
| Anahtar Kelimeler |
| Data mining processes | Machine learning | Optimal data analysis | Solar power |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 9 |
| Scopus | 10 |
| Google Scholar | 12 |