Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2011.07a
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- Pages.354-356
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- 2011
A Study on Solar Radiation Prediction using Artificial Neural Network
인공지능신경회로망을 이용한 태양광 예측
- Zhang, Fengming (Gyengsang National University) ;
- Cho, Kyeong-Hee (Gyengsang National University) ;
- Lim, Jin-Taek (Gyengsang National University) ;
- Choi, Jae-Seok (Gyengsang National University) ;
- Lee, Young-Mi (Ecobrain) ;
- Lee, Kwang-Y. (Baylor University)
- Published : 2011.07.20
Abstract
Renewable energy resources such as wind, wave, solar, micro hydro, tidal and biomass etc. are becoming importance stage by stage because of considering effect of the environment. Solar energy is one of the most successful sources of renewable energy for the production of electrical energy following solar energy. And, the solar/photovoltaic cell generators depend on the solar radiation, which is a random variable so this poses difficulty in the system scheduling and energy dispatching, as the schedule of the photovoltaic cell generators availability is not known in advance. This paper proposes to use the two-layered artificial neural networks for predicting the actual solar radiation from the previous values of the same variable.
Keywords