Eco-power monitor
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
NHCE
Abstract
The Eco Power Monitor is an advanced solar energy monitoring and management system that integrates IoT and machine learning to optimize energy use. Built around ESP32 microcontrollers, the system interfaces with sensors to monitor solar energy generation, household consumption, and environmental factors like temperature and humidity. Realtime data on voltage, current, and energy usage is stored in an SQLite database, ensuring efficient handling of both real-time and historical information.The hardware includes relay modules for seamless switching between solar power, batteries, and grid energy, optimizing resource utilization based on demand. The software component features a Python Flask application and a machine learning model, leveraging regression algorithms to forecast daily energy demand. This enables efficient energy distribution by prioritizing solar power, conserving battery reserves, and minimizing reliance on the grid. A user-friendly web interface built with HTML, CSS, and JavaScript displays real-time energy data, consumption trends, and actionable insights. Users can monitor energy metrics, make informed decisions, and optimize usage with the help of dynamic visualizations. The system’s predictive capabilities, driven by machine learning, automate energy sourcing decisions, reducing energy wastage and costs while promoting sustainability.
The SQLite database ensures reliable data storage and fast retrieval, supporting the system’s scalability for larger deployments. By combining IoT-driven data acquisition, machine learning analytics, and real-time energy management, the Eco Power Monitor aligns with global sustainability goals. It addresses challenges like inefficient energy use and dependency on non-renewable sources, providing a scalable, cost-effective solution for residential and industrial applications.