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Conference Paper
An Integration Architecture for AI-Based Sensors and Energy Management Systems
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- Authors
- Moonok Choi, Wan-ki Park
- Issue Date
- 2024-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.1644-1645
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- 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.
- KSP Keywords
- Big Data System, Case studies, Integration architecture, IoT sensors, Practical implementation, User roles, decision making, energy management system, large data