Paper Contents
Abstract
The increasing demand for electricity and the associated challenges of power theft and inefficiency have necessitated innovative solutions in energy management. This report explores the implementation of smart metering technologies for the detection of electricity theft and enhanced power monitoring. Smart meters utilize advanced communication technologies and real-time data analytics to provide accurate consumption readings, enabling utilities to identify anomalies indicative of theft. By integrating these systems with predictive algorithms and machine learning techniques, this approach not only facilitates immediate detection but also aids in predicting potential theft hotspots. Additionally, the report discusses the broader implications of smart metering on energy efficiency, consumer behavior, and grid management. The f indings highlight the potential of smart metering as a pivotal tool in enhancing the reliability and sustainability of electrical distribution systems, ultimately contributing to reduced losses and improved service delivery. Key words: Keywords: Electricity Theft, Power Monitoring, IoT, Power Theft Detection, NodeMCU.
Copyright
Copyright © 2025 Aditya Rajkumar Vajale. This is an open access article distributed under the Creative Commons Attribution License.
