Forecasting industrial electric power consumption using regression based predictive model

Accurate electric power consumption forecasting plays key role in the decision-making, planning, executing and over all energy management. This paper presents a regression-based, model for accurate electric power consumption prediction by select industries in Ahmednagar city in Maharashtra state. The proposed model includes data cleaning, data smoothing and final data after preprocessing fed into regression-based model to predict industrial electric power consumption. The context features like calendar data, weather data, company data, and historical consumption of electricity are used as input for the regression-based model. In the conclusion, part accuracy of the proposed model is discussed as research.