References
- Wang-Cheol Cha, Joung-Ho Park, Uk-Rae Cho, Jae-Cheol Kim, "A Study on Prediction of Photovoltaic Generation Amount through Utilizing Geography, Terrain, Weather Data", KIEE Annual Spring Conference 2014, pp 211-212, 2014.5
- Wang-cheol Cha, Uk-rae Cho, Joung-ho Park, Jae-Cheol Kim, "A Study on Prediction of Photovoltaic Generation Efficiency through Utilizing Quantity of Solar Radiation Data", KIEE Summer Conference 2014, pp 1114-1115, 2014.7
- Korea Meteorological Administration Seoul, Republic of Korea, 1981-2010 Climatological normals of Korea, 2011.
- Korea Meteorological Administration Seoul, Republic of Korea, Weather resource analysis report for optimal use of solar energy, 2008. 12. 3.
- Kim, Dong Su, Shin, U Cheol, Yoon, Jong Ho, "Annual energy yield prediction of building added PV system depending on the installation angle and in Korea," KIEAE Conference 2014, Vol 4, No. 1, pp 67-74, 2014. 2.
- Ju Jai-Wook, Kim Han-Soo, Oh Se-Jin, Lee Min-Suk, Choi Jeong-Min, "A Study on the Difference of Regional Electricity and Economic Comparative Valuation of the Photovoltaic System," KIAEBS Annual Spring Confernce 2008, pp 137-140, 2008. 4.
- A. Prastawa, R. Dalimi, "New Approach on Renewable Energy Solar Power Prediction in indonesia based on Artificial Neural Network technique: Southern region of Sulawesi island study case," 2013 International Conference on Quality in Research, pp 166-169, 2013. 6.
- Nian Zhang, Behera, P.K "Solar radiation prediction based on recurrent neural networks trained by Levenberg-Marquardt backpropagation learning algorithm" Published in: Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES Date of Conference: 16-20 Jan. 2012 Page(s):1 - 7
- Nian Zhang, Behera P.K, Williams C "Solar radiation prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks" Published in: Systems Conference (SysCon), 2013 IEEE International Date of Conference: 15-18 April 2013 Page(s):280 - 286
- Srivastava, S, Bhardwaj, S, Sastri, O.S "A novel hybrid model for solar radiation prediction" Published in: Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM), 2012 International Conference on Date of Conference: 13-15 Dec. 2012 Page(s):243 - 248