Energy Consumption Forecasting Using Time Series Data Analytics

The objective of this project is to analyze energy consumption data and forecast future usage patterns. The project supports energy planning and sustainability initiatives through data-driven forecasting models.

Collect energy consumption datasets.

Clean and preprocess time-series data.

Analyze trends and seasonal variations.

Apply forecasting models such as moving averages or ARIMA.

Evaluate forecast accuracy.

Visualize consumption trends and predictions.

Interpret results for energy management.

Document conclusions and recommendations.