Abstract:The rapid growth of renewable energy systems has increased the need for efficient monitoring and performance evaluation of solar photovoltaic installations. Traditional solar monitoring techniques rely on manual data collection and limited analysis, leading to inefficiencies, delayed fault detection, and reduced system performance.
This paper presents Solar Energy Monitoring System, a web-based solar energy monitoring and performance analytics system designed to analyze, visualize, and manage solar power generation data. The system is developed using Python with the Flask framework for backend processing, HTML, CSS, and JavaScript for frontend design, and MySQL for Database management. Solar Energy Monitoring System enables secure user authentication, centralized data storage, real-time performance visualization, and automated report generation. The proposed system improves accuracy, efficiency, and scalability in solar energy monitoring and provides a foundation for future real-time IoT integration.

Keywords: Solar Energy Monitoring, Photovoltaic Systems, Web Application, Python Flask, MySQL, Renewable Energy Analytics.

Downloads: | DOI: 10.17148/IJIREEICE.2026.14449