1. Introduction
The short-term power load forecasting is very important to the electric network's economic and stable running. With the development of the electric power market in China, a high forecasting precision is much more required than before. According to the research in Britain, an increase of forecasting error by 1% will result in an additional annual running cost of 17 million US dollars [1].