ESTIMATION OF SOLAR RADIATION USING DATA MINING PROCESS

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Intensity of solar radiation on a horizontal plane of the earth varies with the position depending hour and season of the sun. The impact fields of solar radiation over the world are found such as the rise of water temperature and the provision of energy for natural events. It has an increasing importance of works on the solar radiation to benefit and avoid damages from solar energy. In this study, the data mining process is used to estimate solar radiation. Data for 2009-2010 years are modeled with KStar, Linear Regression, RBF Network, Simple Linear Regression, M5 Rules, Decision Table, Random Subspace and Multilayer Perceptron algorithms. Comparing model results with measured values, it is shown that the model (P-Ta-Rh) with three input parameters developed using multilayer perceptron algorithm is the most appropriate model.

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data mining process , solar radiation , Isparta

Sdu International Technologic Science

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Sdu International Technologic Science