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

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.