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Pattern detection of load profiles based on regression model with multiple variables

机译:基于多变量回归模型的负荷曲线模式检测

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Load profiles are important files, because they store the measured data for electricity consumption on different substations. They store different data, which are very important for electrical companies. The purpose of this paper is to detect the trend of Load Profile data in visual form and to find the electric load model using the Multiple Linear Regression Model. This model is based on three observed variables: time, temperature and dewpoint. In addition, the data were analyzed and calculated to find the necessary statistical parameters. To achieve these goals, the language R is used.
机译:负载曲线是重要的文件,因为它们将测量的数据存储在不同的变电站中以用于电力消耗。它们存储不同的数据,这对于电力公司而言非常重要。本文的目的是以可视形式检测负荷曲线数据的趋势,并使用多元线性回归模型找到电负荷模型。该模型基于三个观察到的变量:时间,温度和露点。此外,对数据进行了分析和计算以找到必要的统计参数。为了实现这些目标,使用了语言R。

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