Analysis of solar radiation with artificial neural networks and machine learning: Example of Bursa and Çanakkale
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2022
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Advisor: Doç. Dr. Necla Tektaş
Abstract (EN)
Solar energy is the most important and most abundant renewable energy source in the world. The scarcity of natural energy resources. Due to the damage it causes to the environment and the fact that it will be exhausted. it has led to an increase in studies on renewable energy sources. In this study, solar energy, which is one of the renewable energy sources. was also carried out. When the analysis results are compared. the Bayesian method gave the best results in the results of Bursa province. while the Levenberg-Marquardt method gave the best result for Çanakkale. In the machine learning algorithm. classification analysis was made and four basic algorithms were used. The best result in the algorithms used was obtained with the data of Bursa province with the Decision Tree method. In this direction. suggestions and comments were made. Keywords: Solar Radiation, Artificial Neural Networks, Machine Learning, Prediction Techniques
Author
Ebru Korkmaz
Institution
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Ebru Korkmaz (Master Thesis). Analysis of solar radiation with artificial neural networks and machine learning: Example of Bursa and Çanakkale, 2022, Bandırma Onyedi Eylül University.
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