Short Term Forecasting #

Overview #

Short-term forecasting is a crucial part of our analytics system, helping us predict energy demand and supply fluctuations based on historical and real-time data. By leveraging advanced modeling techniques, we ensure accurate and reliable forecasts to aid decision-making.

Key Features #

• Real-time Data Processing: Data points are continuously updated to reflect the most accurate conditions.
• Multiple Timeframes: Users can toggle between different time ranges (hourly, daily, weekly, or monthly) for in-depth analysis.
• Comparative Analysis: Allows for the comparison of predicted vs. actual values to assess forecasting accuracy.
• Export Options: Enables users to download data for further analysis and reporting.

Use Cases #

• Optimizing Energy Production: Helps district heating companies adjust production based on anticipated demand.
• Cost Efficiency: Reduces energy waste by aligning supply with demand fluctuations.
• Grid Stability: Improves energy grid management by forecasting peaks and drops in energy consumption.
• Decision Support: Assists energy operators in proactive planning and resource allocation.

By continuously analyzing data and visualizing short-term forecasts, we provide an insightful tool for energy management and planning.