In the real world, many goods and services are practically not produced under the conditions of full competition, and most public utilities such as water, electricity, gas, and telephone are operated under monopoly conditions, among which the electricity industry has a special place regarding the price of energy carriers in the country, subsidies from the government, limitation of fossil resources, annual consumption growth of various types of energy carriers in Iran, technical and economic disadvantages of energy consumption, and environmental problems caused by inappropriate and inefficient fuel consumption, optimizing energy consumption in the country has become a necessity. Therefore, the purpose of this study was to evaluate and prioritize the factors affecting the optimization of electrical energy of industrial customers of Semnan Regional Electric Company with a combination of an exploratory hybrid approach. The research method is a combination of exploratory sequencing method. The research participants in the interview section included 35 representatives and specialists in the field of electronics and electronics as potential contributors through a targeted sampling of key experts and theoretical saturation technique. In a small section, a questionnaire with 54 questions was designed and distributed between 35 experts. In this section, the Fuzzy Delphi method was used to reach a consensus among experts on 6 dimensions of management, information, financial, political/legal, cultural/organizational, and technical/technological. In the Fuzzy Delphi method, after three phases experts came into a conclusion and 30 sub-criteria were confirmed. Then, the fuzzy ANP-DEMATEL combination approach was used. Using the fuzzy DEMATEL method, the relationships between factors and their impact were found to be the most effective technical barriers and the policy of conservation / legal regulation as the most influential factor. Then, ANP process, the weight of the calculated factors and their significance were determined. In the first case, technical barriers were the most important (with a weight of 266. 0) and management barriers of the least importance (weighted 113. 0).