Application of Outlier Mining in Power Load Forecasting
According to the theory of power load forecasting, data mining based on historical data of power load is used in load predicting. During the practical application, there are some errors in the data collection, and a load forecasting curve often contains big jagged edges. This paper presents a new outlier data mining approach. It finds sharp angle points between two lines, which correspond to outliers of power load. We smooth the curve at same time outliers are handled. Experiments show that after the new outlier mining approach was applied, load forecast results were improved significantly.
outlier mining power load forecasting the sharp angle points between two lines smooth
Donghui-Shi
School of Electronics and Information Engineering Anhui University of Architecture, Hefei Anhui, China
国际会议
太原
英文
174-176
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）