BP Neural Networks Model Based on Chaotic Analysis and Its Application on Power Load Forecasting
Guanghua Qin · Journal of Sichuan University · 2004
Combined with the chaos theory and artificial neural networks,this paper presents a BP neural networks model based on chaotic analysis in the phase space.Training data construction and networks structure are determined by chaotic phase space, and nonlinear relationship of phase points is established by BP neural networks.As an example, the new model is applied on short term forecasting of daily power load with chaotic characteristics. Compared to the standard BP neural networks and chaotic linear regressive model,the results show higher precision of BP neural networks model based on chaotic analysis in training and forecasting.