Predictive Analytics for Energy Consumption

Overview

This project involved building a predictive model to forecast energy consumption patterns based on historical data. We used Python, Pandas, and Scikit-Learn to clean, analyze, and train the model. The insights gained are useful for optimizing energy use and planning.

Key Findings

• Energy consumption trends are impacted by seasonality and external factors.
• Predictive modeling can reduce forecast errors and improve resource allocation.