University of Qom Journal of Engineering Management and Soft Computing 3116-0158 10 2 2025 03 20 Effective indicators in Energy Management using the Internet of Things (IoT) شاخص‌های مؤثر در مدیریت انرژی با استفاده از اینترنت اشیاء 52 83 3389 10.22091/jemsc.2025.11119.1188 EN Morteza Nourmehdi MSc. Student, Department of Information Technology, Faculty of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran. Email: morteza.nourmehdi@email.kntu.ac.i Mohammad Hadi Zahedi Assistant Professor of, Department of Information Technology, Faculty of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran. Email: zahedi@kntu.ac.ir 0000-0002-2682-5946 Journal Article 2024 08 04 Energy management based on the Internet of Things is an intelligent method to control energy consumption and production. Energy can be managed intelligently and optimally using sensors, smart devices, and communication networks. The current research aims to extract effective indicators of energy management based on the Internet of Things. This research extracted five main indicators (criteria) and twenty-two sub-criteria from previous studies. While DIMTEL and TOPSIS methods cannot resolve the ambiguity of the verbal evaluations made by the decision-makers, triangular fuzzy numbers were used in all these techniques. To analyze the research data, the indicators were ranked based on the effectiveness of each of them, and the type of relationship between the factors was investigated using the fuzzy Dimetal method. Based on this,, energy cost, has won first place in energy management based on the Internet of Things. The criterion of social benefits, won second place, and the criterion of protocols and standards, won third place. https://jemsc.qom.ac.ir/article_3389_a10aba0762eb0bef2a67699952ab5562.pdf