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By: Ranchit Srivastava and Sunil Kumar.
Assistant Professor, Department of Electrical Engineering, Bansal Institute of Engineering &Technology
Student, Department of Electrical Engineering, Bansal Institute of Engineering &Technology
The growing demand for accurate, cost-effective, and sustainable energy monitoring solutions has accelerated advancements in smart metering, non-intrusive load monitoring (NILM), and real-time consumption analysis. This research paper consolidates and extends insights from recent developments in energy metering technologies, focusing on battery-free sensing, IoT- enabled monitoring, life-cycle sustainability, and meter performance under distorted grid conditions. Building upon prior work on non-intrusive and adaptive load monitoring, this study proposes an integrated smart energy metering framework aimed at improving residential and commercial energy efficiency in developing and developed regions. This study suggests a comprehensive and integrated smart energy metering framework intended to enhance residential, commercial, and small-scale industrial energy efficiency in both developed and developing regions, building on earlier research in adaptive and non-intrusive load monitoring techniques. In order to ensure dependable and maintenance-free long-term operation, the proposed system incorporates: (1) a low-cost, battery-free, non-intrusive power measurement methodology; (2) IoT-based data acquisition and cloud connectivity for real-time visualization, analytics, power quality assessment, and demand-side management; and (3) a sustainability-oriented design approach supported by life-cycle cost analysis comparing smart and conventional metering systems. The system incorporates: (1) a low-cost, battery-free non-intrusive power measurement approach for reliable long-term monitoring; (2) IOT-based data acquisition for real-time visualization, power quality assessment, and demand-side management; and (3) a sustainability- driven design informed by life cycle cost analysis of smart versus conventional meters. Experimental evaluations demonstrate that smart metering solutions significantly enhance consumption awareness, support appliance-level load identification, and maintain accuracy even under non sinusoidal grid conditions. The proposed framework highlights the environmental and economic benefits of transitioning to advanced smart metering infrastructures and emphasizes their potential to promote energy conservation, optimize grid reliability, and support sustainable development goals.
Keywords- Battery-Free Power Meter, Load Identification, Smart Energy Metering, Sustainable Energy Management, Non-Intrusive Load Monitoring (NILM).
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