Forecast of Power Generation for Grid-Connected Photovoltaic System Based on Markov Chain

作者: Ying-Zi Li , Jin-Cang Niu

DOI: 10.1109/APPEEC.2009.4918386

关键词:

摘要: … a mathematical model which uses Markov Chain theory based on the actual operating data on August 8, 2007, which comes from a 6kW grid-connected photovoltaic system in Beijing. …

参考文章(13)
Yuancheng Li, Bo Li, Tingjian Fang, Short-term load forecast based on fuzzy wavelet support vector machines world congress on intelligent control and automation. ,vol. 6, pp. 5194- 5198 ,(2004) , 10.1109/WCICA.2004.1343711
Kuihe Yang, Jinjun Zhu, Baoshu Wang, Lingling Zhao, Design of short-term load forecasting model based on fuzzy neural networks world congress on intelligent control and automation. ,vol. 3, pp. 2038- 2041 ,(2004) , 10.1109/WCICA.2004.1341941
A.M. Al-Kandari, S.A. Soliman, M.E. El-Hawary, Fuzzy systems application to electric short-term load forecasting. II. Computational results large engineering systems conference on power engineering. pp. 131- 137 ,(2003) , 10.1109/LESCPE.2003.1204692
J. Samimi, E.A. Soleimani, M.S. Zabihi, Optimal sizing of photovoltaic systems in varied climates Solar Energy. ,vol. 60, pp. 97- 107 ,(1997) , 10.1016/S0038-092X(96)00165-X
Liang Haifeng, Li Gengyin, An adaptive BP-network approach to short term load forecasting ieee international conference on electric utility deregulation restructuring and power technologies. ,vol. 2, pp. 505- 509 ,(2004) , 10.1109/DRPT.2004.1338035
S.H. Ling, F.H.F. Leung, H.K. Lam, P.K.S. Tam, Short-term electric load forecasting based on a neural fuzzy network IEEE Transactions on Industrial Electronics. ,vol. 50, pp. 1305- 1316 ,(2003) , 10.1109/TIE.2003.819572
I. Drezga, S. Rahman, Input variable selection for ANN-based short-term load forecasting IEEE Transactions on Power Systems. ,vol. 13, pp. 1238- 1244 ,(1998) , 10.1109/59.736244