Comparison of ANN and MLR models for estimating solar radiation in Turkey using NOAA/AVHRR data |
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| Authors: | Mehmet ?ahin Y?lmaz Kaya Murat Uyar |
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| Institution: | 1. Department of Electrical and Electronics Engineering, Siirt University, 56100 Siirt, Turkey;2. Department of Computer Engineering, Siirt University, 56100 Siirt, Turkey |
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| Abstract: | In this paper, the estimation capacities of MLR and ANN are investigated to estimate monthly-average daily SR over Turkey. The satellite data are used for 73 different locations over Turkey. Land surface temperature, altitude, latitude, longitude and month are offered as the input variables for modeling ANN and MLR to get SR. Estimations of SR are evaluated with the meteorological values by using the statistical bases. The obtained results indicated that the ANN model could achieve a satisfactory performance when compared to the MLR model. Moreover, it is understood that more accurate results in estimation of SR are obtained in the use of satellite data, rather than the use of meteorological station data. Finally, the built ANN model is used to estimate the yearly average of daily SR over Turkey. As a result, satellite-based SR map for Turkey is generated. |
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| Keywords: | Solar radiation Mapping Land surface temperature Artificial neural network Multiple linear regression NOAA/AVHRR |
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