Photovoltaic Super-Short Term Power Prediction Based on BP-ANN Generalization Neural Network Technology Research

• DOI: 10.4028/www.scientific.net/amr.791-793.1925
• Publication Date: 2013-09-04T12:36:41Z
• Authors: Xin Xin Shang; Qi Juan Chen; Zi Fen Han; Xiao Dong Qian
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; 7. Clean energy

The research is mainly based on BP-ANN neural network method, through direct and indirect data collection to predict the photovoltaic super-short term power generation, discussed influence effection about generalization of model ,which used generation. Combined with actual operation situation, analyzed compared system results. results show that measured has same trend prediction results, root mean square error absolute are small, accuracy reached 96.71% high application value.