The Sunshine Duration Error Rates were calculated with Gradient-Descent Algorithm and Genetic Algorithm for Use of Solar Energy
Abstract
In this study, which is a source of renewable energy required to take advantage of solar energy to the maximum duration of sunshine was estimated. In the study, values were used of the city of Amasya. Artificial neural networks (ANN) backpropagation gradient-descent(GD) learn algorithm and genetic algorithm(GA) were used. Three hidden layer network model was designed with two inputs for ANN and GA. Between 2000 and 2010 values were used as input data monthly sunshine duration and humidity values. Output data was obtained monthly sunshine duration of 2010. The values obtained were compared with the actual values and the root mean square error (RMSE) was calculated. Result of the study, GA was used to calculate the values that are needed for solar energy.
Keywords
References
- Variyenli H.İ., Menlik T., Özkaya M.G., ”Isı enerjisi destekli bir kompresörün buhar sıkıştırmalı soğutma sistemindeki performansının deneysel incelenmesi” Gazi Üniv. Müh. Mim. Fak. Der. Cilt 26, No:1,1-8, 2011.
- Özdemir V., “Türkiye’nin karbonizasyon indeksinin temel enerji göstergelerine bağlı olarak yapay sinir ağları ile tanımlanması”Gazi Üniv. Müh. Mim. Fak. Der. Cilt 26, No:1,9-15, 2011.
- Ucar A. Balo F., “Evaluation of wind energy potential and electricity generation at six locations in Turkey” Applied Energy 86(1):1864-1872,2009.
The Sunshine Duration Error Rates were calculated with Gradient-Descent Algorithm and Genetic Algorithm for Use of Solar Energy
Abstract
In this study, which is a source of renewable energy required to take advantage of solar energy to the maximum duration of sunshine was estimated. In the study, values were used of the city of Amasya. Artificial neural networks (ANN) backpropagation gradient-descent(GD) learn algorithm and genetic algorithm(GA) were used. Three hidden layer network model was designed with two inputs for ANN and GA. Between 2000 and 2010 values were used as input data monthly sunshine duration and humidity values. Output data was obtained monthly sunshine duration of 2010. The values obtained were compared with the actual values and the root mean square error (RMSE) was calculated. Result of the study, GA was used to calculate the values that are needed for solar energy.
Keywords
References
- Variyenli H.İ., Menlik T., Özkaya M.G., ”Isı enerjisi destekli bir kompresörün buhar sıkıştırmalı soğutma sistemindeki performansının deneysel incelenmesi” Gazi Üniv. Müh. Mim. Fak. Der. Cilt 26, No:1,1-8, 2011.
- Özdemir V., “Türkiye’nin karbonizasyon indeksinin temel enerji göstergelerine bağlı olarak yapay sinir ağları ile tanımlanması”Gazi Üniv. Müh. Mim. Fak. Der. Cilt 26, No:1,9-15, 2011.
- Ucar A. Balo F., “Evaluation of wind energy potential and electricity generation at six locations in Turkey” Applied Energy 86(1):1864-1872,2009.
Details
| Subjects | Electrical Engineering |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | December 31, 2017 |
| Acceptance Date | January 12, 2018 |
| Published in Issue | Year 2017 Volume: 1 Issue: 1 |
