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.
Authors
- Moonok Choi
- Wan–Ki Park
Institutions
- Electronics and Telecommunications Research Institute (KR)
Publication Details
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1109/ictc62082.2024.10827060
- Citations
- 1
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.35
Funders
- Korea Institute of Energy Technology Evaluation and Planning