Design and Implementation of IoT-Based Prepaid Smart Energy Meter for Efficient Power Management

The increasing demand for smarter and more efficient energy management systems has led to the emergence of prepaid smart energy meters integrated with Internet of Things (IoT) technologies.This paper presents the design and implementation of an IoT-based prepaid smart energy meter intended to enable real-time consumption monitoring, remote billing management, and automated power control.The system allows consumers to purchase electricity credits in advance and track their usage through a user-friendly mobile or web interface, fostering energy awareness and promoting conservation.The hardware architecture incorporates a digital energy metering IC for accurate measurement, an ESP32 microcontroller for processing and control, and Wi-Fi/GSM modules to ensure seamless data transmission.The system communicates with a cloud-based platform that manages user profiles, stores consumption data, and facilitates remote credit recharges.Key functionalities include real-time usage alerts, automatic disconnection when credit is depleted, tamper detection, and support for dynamic tariff structures based on time-of-use pricing.This IoT-enabled solution benefits consumers by providing transparency and control over their electricity consumption while also helping utility providers reduce revenue loss from manual errors, billing delays, and electricity theft.Furthermore, the integration of real-time analytics supports predictive load forecasting and demand-side energy management, contributing to the stability and scalability of smart grid infrastructures.Performance evaluations demonstrate the system's effectiveness in energy regulation, user convenience, and operational reliability.Cost analysis indicates the feasibility of deploying such systems in both urban and rural settings, particularly in regions with unreliable billing practices or limited access to on-site utility services.Additionally, this approach aligns with global sustainability goals by encouraging responsible energy usage, facilitating renewable energy integration, and minimizing environmental impact.It lays the foundation for the development of smart, self-regulating cities that prioritize resilience, economic efficiency, and environmental stewardship.Future improvements could include AI-based consumption forecasting, blockchainenabled secure transactions, and integration with smart home systems for a fully automated energy ecosystem.