Predictive Analytics for Increasing the Energy Efficiency of Industrial Enterprises

Abstract

Methods of forecasting and planning of energy consumption of industrial enterprises used in the process of monitoring, control and optimization of energy consumption at the enterprise, as well as for development of energy efficiency strategy are considered. Methods of intelligent data analysis, agent modeling, artificial intelligence and combinatorial optimization methods are used. The developed methodological and software is used in PJSC “Dniprospetsstal” in solving problems of management of energy saving projects and energy consumption processes. An assessment of the volume and efficiency of energy consumption at the metallurgical enterprise was conducted. This allowed to make an informed choice of energy saving directions at the metallurgical enterprise and to evaluate the effectiveness of the energy saving program.