短期电力负荷预报中几种异常数据的处理  

Identification and Management to Anomalous Data in Short-term Load Forecasting

作　　者：陈亚红[1] 穆钢[1] 段方丽 

机构地区：[1]东北电力学院,吉林吉林132012 [2]中国神马集团尼龙六六盐厂,河南467000

出　　处：《东北电力学院学报》2002年第2期1-5,共5页Journal of Northeast China Institute of Electric Power Engineering

摘　　要：分析了历史负荷中异常数据对负荷预报的影响 ,对实际电力系统中遇到的异常数据进行了分类 ,并对各类数据的处理从工程实际出发采用了适当的方法。给出了对预报日预报时刻后至 2 4点的数据补足算法。具体电力系统的算例从统计意义上说明了异常数据处理前后 。The influence of anomalous data consists in the historic load data to load forecasting is analysed .Different management methods on the basis of engineering reality are given to various anomalous data.Especially,an arithematic of supplementing load data after the forecast time of the day during forecasting day is introduced with its efficiency proved by an example.The example shows the change of forecasting errors before/after dealing with the anomalous data at the same time.

关 键 词：短期电力负荷预报 异常数据 数据处理 能量管理系统 电力系统 

分 类 号：TM715[电气工程—电力系统及自动化]