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The Sunshine Duration Error Rates were calculated with Gradient-Descent Algorithm and Genetic Algorithm for Use of Solar Energy

Year 2017, Volume: 1 Issue: 1, 42 - 50, 31.12.2017

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.

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

Year 2017, Volume: 1 Issue: 1, 42 - 50, 31.12.2017

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.

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.
There are 3 citations in total.

Details

Subjects Electrical Engineering
Journal Section Articles
Authors

Yalçın Kaplan

Publication Date December 31, 2017
Acceptance Date January 12, 2018
Published in Issue Year 2017 Volume: 1 Issue: 1

Cite

APA Kaplan, Y. (2017). The Sunshine Duration Error Rates were calculated with Gradient-Descent Algorithm and Genetic Algorithm for Use of Solar Energy. International Scientific and Vocational Studies Journal, 1(1), 42-50.
AMA Kaplan Y. The Sunshine Duration Error Rates were calculated with Gradient-Descent Algorithm and Genetic Algorithm for Use of Solar Energy. ISVOS. December 2017;1(1):42-50.
Chicago Kaplan, Yalçın. “The Sunshine Duration Error Rates Were Calculated With Gradient-Descent Algorithm and Genetic Algorithm for Use of Solar Energy”. International Scientific and Vocational Studies Journal 1, no. 1 (December 2017): 42-50.
EndNote Kaplan Y (December 1, 2017) The Sunshine Duration Error Rates were calculated with Gradient-Descent Algorithm and Genetic Algorithm for Use of Solar Energy. International Scientific and Vocational Studies Journal 1 1 42–50.
IEEE Y. Kaplan, “The Sunshine Duration Error Rates were calculated with Gradient-Descent Algorithm and Genetic Algorithm for Use of Solar Energy”, ISVOS, vol. 1, no. 1, pp. 42–50, 2017.
ISNAD Kaplan, Yalçın. “The Sunshine Duration Error Rates Were Calculated With Gradient-Descent Algorithm and Genetic Algorithm for Use of Solar Energy”. International Scientific and Vocational Studies Journal 1/1 (December 2017), 42-50.
JAMA Kaplan Y. The Sunshine Duration Error Rates were calculated with Gradient-Descent Algorithm and Genetic Algorithm for Use of Solar Energy. ISVOS. 2017;1:42–50.
MLA Kaplan, Yalçın. “The Sunshine Duration Error Rates Were Calculated With Gradient-Descent Algorithm and Genetic Algorithm for Use of Solar Energy”. International Scientific and Vocational Studies Journal, vol. 1, no. 1, 2017, pp. 42-50.
Vancouver Kaplan Y. The Sunshine Duration Error Rates were calculated with Gradient-Descent Algorithm and Genetic Algorithm for Use of Solar Energy. ISVOS. 2017;1(1):42-50.


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