Price Forecasting Based on PSO Train BP Neural Network

In this paper, the basic idea is to use percent of reserve capacity, the historical load and price to forecast short-term electricity price .The paper provides an example of bidding model to forecast market clear price using BP neural network trained by PSO. To compare with the result of traditional BP neural network, the proposed method has better forecasting precision and can convergence to global optimal solution at all times.