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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53329
Volume:
9 |
10 |
Oct 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
SolarIQ is an intelligent platform developed to enhance solar energy management through accurate forecasting and insightful data visualization. The system employs machine learning algorithms to predict solar power generation using historical datasets and real-time weather parameters such as temperature, humidity, and irradiance. The platform is built using Node.js and Express.js for efficient backend processing, with MySQL serving as the primary database to ensure secure and structured data management. Interactive dashboards display key performance metrics including energy output trends, efficiency rates, and predictive analytics, enabling users to make data-driven decisions and optimize solar resource utilization. Additional modules such as anomaly detection, predictive maintenance alerts, and performance comparison improve operational reliability. By combining artificial intelligence with real-time data integration, SolarIQ bridges the gap between renewable energy data and actionable insights. The system demonstrates how smart forecasting and user-centric dashboards can support sustainable energy practices and contribute to environmental efficiency.
KEYWORDS
Publication Date
10/30/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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