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电力负荷特性的统计分析是电力市场研究的重要组成部分,也是实际的负荷特性调研活动必不可少的理论指导。针对现有负荷特性分析方法存在的缺陷,引入偏最小二乘回归方法对电力负荷特性进行预测,不仅能建立回归模型,还能相对精确地描述两者间的关系,同时能方便地排除异常样本点的影响。在样本容量充分的条件下该法是寻求电力负荷影响因素与电力负荷指标间关系的有效方法。
The statistical analysis of power load characteristics is an important part of the electricity market research and is also an indispensable theoretical guide to the actual load characteristics research activities. In order to overcome the shortcomings of the existing load characteristics analysis methods, the partial least-squares regression method is used to predict the load characteristics. It can not only establish the regression model, but also can describe the relationship between the two relatively accurately and at the same time can conveniently exclude the abnormal samples The impact of the point. Under the condition of sufficient sample size, this method is an effective way to find the relationship between the influencing factors of power load and power load indicators.