Load Forecasting Based on Smart Electricity Meters

摘要：

　　The classical solutions for load forecasting based on collected data from supervisory control and data acquisition (SCADA) system,cannot accurately reflect actual changes in the load due to the measurement data contains not only the user load but also the line loss.This paper proposes a load-forecasting method based on smart electricity meters by adopting the least squares support vector machine prediction algorithm.Experimental results show that the proposed method has high prediction accuracy,whose the average relative error is just 0.77%.

关键词： load forecasting smart electricity meters least squares support vector machine line loss prediction accuracy

作者: Wang Wei-neng Luo Zhi-kun

作者单位: Hunan Electric Power Corporation Research Institute Hunan, China

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 1201-1204

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）