An Integration Architecture for AI-Based Sensors and Energy Management Systems

Recent advancements in AI technology are transforming energy management systems, enhancing decision-making efficiency through the processing of large data volumes from various IoT sensors and big data systems. This study proposes an architecture for integrating Energy Management Systems with AI-based sensors to optimize implementation and maintenance. It outlines user roles, system functionalities, and presents a case study of practical implementation in a testbed building, demonstrating its applicability.