Successful Energy Management with IoT Supporting Technology: Evolution, Concepts, Applications, and Challenges

Energy management system (EMS) is gaining attention in a variety of industries. As we all know, Industry 4.0 is characterized by the integration of advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data to create intelligent and interconnected systems. This will help increase the efficiency of industrial processes and Improve production efficiency by AI learning algorithm. Sensors are a key component of IoT and play a key role in Industry 4.0 by collecting data about the physical world, including temperature, humidity, pressure, electrical power, and other parameters. This information is then sent to other devices and systems for EMS. This is analyzed to gain insights into the performance of machines and processes. This, in turn, helps the EMS make informed decisions about how to allocate resources in the future as well. The presentation aims to explain the IoT solutions for better energy management with real applications.


Chaiyapon Thongchaisuratkrul

Dr. Chaiyapon Thongchaisuratkrul received the B.S. and M.Eng degrees in electrical engineering from King Mongkut’s Institute of Technology North Bangkok, Thailand, and the Ph.D. degree in electrical engineering from Vanderbilt University, USA, in 1989, 1992, and 2001, respectively. Since 1989, he has been with the Department of Teacher Training in Electrical Engineering, KMITNB, where he is currently an assistant professor. His research interests include robotics, mobile robots, intelligent control systems including neural networks and fuzzy logic, electrical power systems, electric drives, and energy conservation. He is the author of Electrical Energy Conservation, Robotics Engineering, and Energy Management in Building. He has worked in the control system and energy conservation and served as a consultant to several government and industrial projects.