ML-based IoT Communication Data Analysis Framework for Energy Crisis Management in Commercial Buildings
Modern society depends substantially on the consumption of energy, which impacts both environmental sustainability and economic stability. This study analyzes the efficient management of energy use across several zones, with a focus on commercial applications, which account for a considerable amount of worldwide energy consumption. It emphasizes the significance of telecommunications to maintain surveillance on and optimize energy use, utilizing cutting-edge technology like 5G and IoT to send data in real-time and mitigate crises. The proposed system model incorporates multi-sensors to monitor environmental factors such as humidity and temperature, paired with secure data transmission methods to prevent unauthorized access. The findings reveal a significant increase in power consumption from 2018 to 2019, and timely analysis facilitated by telecommunications can substantially assuage the crisis. This research underscores the importance of integrating telecommunication technologies with energy management systems to ensure reliable, efficient, and secure energy usage, thus addressing one of the most pressing challenges in today’s energydependent world.
Authors
- Rajesh Gupta (ORCID: https://orcid.org/0000-0001-7428-7671)
- Amit Sheth
- Jitendra Bhatia (ORCID: https://orcid.org/0000-0002-2375-5057)
- Sudeep Tanwar (ORCID: https://orcid.org/0000-0002-1776-4651)
- Krisha Darji
- Bansri Choxi
Institutions
- Nirma University (IN)
Publication Details
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/idicaiei61867.2024.10842819
- Primary Topic
- Technology and Security Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00