IoT-Enabled Energy Management Monitoring System for Sustainable Resource Optimization

This research, "IoT-Enabled Energy Management Monitoring System for Sustainable Resource Optimization," introduces an innovative IoT-enabled energy management monitoring system designed to address the escalating global energy demands and promote sustainable practices. By integrating smart controllers, advanced sensors, and a user-centric interface, the system empowers users with real-time insights into their energy consumption patterns, enabling informed decisions for energy optimization. Our experimental results demonstrate the system's ability to provide detailed energy consumption data with a high degree of accuracy, achieving a minimum percentage error of 0.03% in load measurements. This precision not only facilitates effective load management and energy conservation but also contributes to a greener environment by minimizing energy waste. The research aligns with the United Nations Sustainable Development Goal 7 (Affordable and Clean Energy) and Goal 13 (Climate Action) by promoting responsible energy consumption and contributing to the reduction of greenhouse gas emissions. The developed system offers a practical and cost-effective solution for residential settings, with potential for broader applications across various sectors, fostering a more sustainable energy future.

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Publication Details

Journal
British Journal of Computer Networking and Information Technology
Published
2025-01-10
DOI
https://doi.org/10.52589/bjcnit-kj95augm
Citations
1
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.73
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article

IoT-Enabled Energy Management Monitoring System for Sustainable Resource Optimization

Olatunji Matthew Kolawole, Anthony Obogo Otiko, Abdulsalam Nasidi, S. A. Akpotuzor
1 citations
British Journal of Computer Networking and Information Technology
Smart Grid Energy Management
0.73
article

IoT-Enabled Energy Management Monitoring System for Sustainable Resource Optimization

Olatunji Matthew Kolawole, Anthony Obogo Otiko, Abdulsalam Nasidi, S. A. Akpotuzor
article en
1 citations

Abstract

This research, "IoT-Enabled Energy Management Monitoring System for Sustainable Resource Optimization," introduces an innovative IoT-enabled energy management monitoring system designed to address the escalating global energy demands and promote sustainable practices. By integrating smart controllers, advanced sensors, and a user-centric interface, the system empowers users with real-time insights into their energy consumption patterns, enabling informed decisions for energy optimization. Our experimental results demonstrate the system's ability to provide detailed energy consumption data with a high degree of accuracy, achieving a minimum percentage error of 0.03% in load measurements. This precision not only facilitates effective load management and energy conservation but also contributes to a greener environment by minimizing energy waste. The research aligns with the United Nations Sustainable Development Goal 7 (Affordable and Clean Energy) and Goal 13 (Climate Action) by promoting responsible energy consumption and contributing to the reduction of greenhouse gas emissions. The developed system offers a practical and cost-effective solution for residential settings, with potential for broader applications across various sectors, fostering a more sustainable energy future.

British Journal of Computer Networking and Information TechnologyVol. 8(1)
University of Cross River State (NG), University of Uyo (NG)
Responsible consumption and production
Openalex Percentile: Top 32%
Smart Grid Energy Management
0.73
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