Short-Term Wind Power Forecasting Model based on ICA-BP Neural Network

Zi-Cheng Lan, Yuan-Biao Zhang, Jing Zhang, Xin-Guang Lv
2014 Computer and Information Science  
It's of great significance for wind power integration into grid to forecast wind power. Based on forecasting wind power by BP neural network, the article introduces global optimization algorithm, Imperialist Competitive Algorithm (ICA) to provide optimized initial weights of BP neural network. Thus, it can overcome the entrapment in local optical optimum of BP neural network. Compared with BP neural network, it is found that the performances of ICA-BP neural network, which are training, testing
more » ... e training, testing and forecasting of wind power, are much better. Keywords: wind power forecast, imperialist competitive algorithm, BP neural network, optimized weights To improve high-efficiency and accuracy of short-term wind power forecasting, the article proposes ICA-BP mixed algorithm which is the combination of imperialist competitive algorithm (ICA) and BP neural network to
doi:10.5539/cis.v8n1p1 fatcat:6orzpszkajhjpa3dmzkp3f6vaq