IoT based Energy Management System for Buildings
This research study presents an IoT-based energy management system designed for buildings, integrating human detection technology and a pre-paid energy metering system. The system optimizes energy usage by dynamically adjusting devices based on human presence and allows users to monitor and manage their energy consumption in real-time. This approach enhances building energy efficiency, reduces wastage, and provides users with greater control over their energy usage. The combination of IoT technology, human detection, and pre-paid metering offers a comprehensive solution for efficient, cost-effective, and userfriendly energy management in buildings. In order to ensure that energy is used efficiently, the system dynamically adjusts appliances like air conditioning, heating, and lighting based on human presence. Users may also top up energy credits online or using mobile apps, and it gives them the freedom to monitor and manage their energy consumption in real-time. The system’s all-encompassing strategy improves building energy efficiency, lowers waste, and gives users more control over how much energy they use. By providing occupancy information, the system’s human detecting capabilities not only minimizes energy usage but also improves safety and security. By automating security and lighting systems, this data can enhance building management as a whole. Pre-paid energy metering system integration promotes energy conservation in addition to helping consumers budget their energy costs. All things considered, this Internet of Things (IoT)based energy management system provides a complete answer for effective, affordable, and user-friendly building energy management.
Authors
- Vignesh Prasanna Natarajan
- Sastri Kota
- Naveena Aggarapu
- Sai Laxman Metta
Institutions
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
Publication Details
- Published
- 2024-09-18
- DOI
- https://doi.org/10.1109/icosec61587.2024.10722229
- Citations
- 4
- Primary Topic
- IoT-based Smart Home Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.83