Research On Short-term Price Forecasting In Power Market

With rapid development of the society, we have entered an era of "economic globalization. As the electricity market reform around the world, our country faces the impact of electricity market reform of electric power industry. However, not only it is a challenge for electric power industry in China, but also an opportunity of China's electric power industry. As the center of the electric power market reform, we need to do much work on electricity price. Electricity price forecasting is one of the most important works.Before introducing the electricity price forecasting, price formation, characteristics and influence factors are generalized in the thesis. Owning to the traits of short-term price forecasting, genetic simulated annealing BP neural network model is proposed. The result shows the proposed model is much faster and more precisely comparing with the BP neural network model.The article summarizes the content of the work, and presents deficiencies, which provides a reference for the future work.