The power load forecasting is an important part of the power system planning and the operation research. With the continuous increase of the power consumption in China, the research of the power load forecasting has been paid by the people. Because the power load data are very huge, it brings many difficulties to the related prediction research. In this paper, we use the idea of the parallel algorithm to deal with the massive power load data and we propose the improved parallel chaos prediction method to study the power load forecasting. The experimental results show that the algorithm not only can reduce the prediction time but also can improve the prediction performance. In addition, the prudential results are more accurate.
