Real-Time Energy Monitoring for Renewable Power Systems: Enhancing Stability and Efficiency with IoT-Based Wireless Sensor Networks

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Abstract
The increasing adoption of renewable energy sources as alternatives to fossil fuels has highlighted challenges related to their intermittent power output due to unpredictable weather conditions. To address this, continuous monitoring and analysis of power generation data are essential for enhancing grid stability, improving performance, and enabling predictive maintenance. This paper presents a reasonable energy monitoring system utilizing all platforms' open-source Internet of Things (IoT). The system integrates a reduced power, long-range Wireless Sensor Network (WSN) to provide realistic data collection, fault detection, and actionable insights. By exploiting IoT-based monitoring, operators can optimize energy output, detect anomalies, and perform proactive maintenance, ultimately improving the competence and dependability of renewable energy systems. The proposed solution offers a scalable and adaptable approach for various renewable energy settings, promoting the progress of intelligent energy management and sustainable power generation.