Forecasting power output of PV grid connected system in Thailand without using solar radiation measurement

Author:

Chupong Charnon,Plangklang Boonyang

Publisher

Elsevier BV

Reference6 articles.

1. A. Woyte, V. Van Thong, R. Belmans, and J. Nijs, “Voltage fluctuations on distribution level introduced by photovoltaic systems,” IEEE Trans. on Energy Conversion, vol. 21, pp. 202-209, 2006.

2. E. Lorenz, J. Hurka, D. Heinemann, and H. G. Beyer, “Irradiance Forecasting for the Power Prediction of Grid-Connected Photovoltaic Systems,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 2, pp. 2-10,2009.

3. Mellit A., Arab A.H., Khorissi N., Salhi H, “an ANIF based forecasting for solar radiation data from sunshine duration and ambient temperature” Power Engineering Society General Meeting, 2007. IEEEDigital Object Identifier:10.1109/PES. 2007.38631 Publication Year: 2007, Page(s): 1-6.

4. A. Yona, T. Senjyu, and T. Funabashi, “Application of recurrent neural network to short-term-ahead generating power forecasting for photovoltaic system,” 2007 IEEE Power Engineering Society General Meeting, Vols 1-10, pp. 3659-3664, 2007.

5. Cai Tao, Duan Shanxu and Chen Changsong. “Forecasting Power Output for Grid-Connected Photovoltaic Power System without using Solar Radiation Measurement” Power Electronics for Distributed Generation Systems (PEDG), 2010 2nd IEEE International Symposium on Digital Object Identifier: 10.1109/PEDG. 2010.5545754 Publication Year: 2010, Page(s): 773-777.

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