This project focuses on developing a Business Intelligence platform that analyzes renewable energy generation data such as solar or wind output. The system will provide predictive insights and visual dashboards to optimize energy production, monitor efficiency, and support sustainable energy planning.
Collect renewable energy datasets including generation levels, weather conditions, and equipment performance metrics.
Clean and preprocess data for structured analysis.
Design a star schema data warehouse for energy analytics.
Implement ETL pipelines to integrate weather and production datasets.
Develop dashboards visualizing energy output trends, peak production times, and system efficiency.
Apply time-series forecasting techniques to predict future energy generation.
Analyze correlation between weather conditions and energy production.
Create KPI metrics for performance evaluation.
Compare predicted and actual outputs for validation.
Assess scalability and system responsiveness.
Prepare comprehensive documentation including predictive insights and sustainability recommendations.
