A novel ultra-short term load forecasting method based on load trend and fuzzy c-means clustering algorihm

According to the requirement of ultra-short term load forecasting in a certain provincial power grid and on the basis of fully analyzing the load characteristics, a novel ultra-short term load forecasting method based on the trend of power load fluctuation and fuzzy C-means clustering algorithm is proposed. In this method the identification and correction of pseudo data are integrated into the load forecasting process. This method is accurate and practicable; the practical application of this method shows that its error analysis index is much better than that from other ultra-short load forecasting method being used in the certain provincial power grid.