Data Science Project 9

Leveraging state-of-the-art time series forecasting techniques, we aim to build predictive models that accurately forecast electricity consumption. These models will harness historical data to provide insights into future electricity demand, enabling utilities and policymakers to make informed decisions for a sustainable energy future.

• Visualize the data to identify any anomalies or patterns.
• Use decomposition to better understand the underlying patterns
• Generate forecasts for future electricity consumption.
• Use appropriate evaluation metrics to assess the accuracy of the forecasts.