Forecasting, Analytics & Decision Support
Forecasts and operational analytics for planning, procurement, balancing, and network decisions
MetaEnergy builds forecasting and analytics workflows that turn historical consumption, weather signals, calendar effects, and operational data into repeatable planning outputs. The value is not only a model - it is a workflow that operators can monitor, compare, audit, and improve.
What we deliver
- Demand forecasting
- Weather and calendar feature modeling
- Confidence intervals
- KPI dashboards
- Anomaly detection
- Forecast APIs and scheduled retraining
Use this service when
- Forecasting is still spreadsheet-based or hard to validate
- Procurement, storage, nominations, or balancing depend on better demand estimates
- You need day-ahead, seasonal, or long-range planning forecasts
- You need model comparison, backtesting, or forecast auditability
Related platforms
Related posts
- Day-Ahead Hourly Electricity Demand Forecasting: A Spanish Case Study at 1.21% MAPE
In a 2018 test our system achieved an hourly MAPE of 1.21%, and combining it with the operator's forecast reduced the operator's error by 7.2%. This article describes the results, the methods used and the main limitations of the study.
- The Single-Model Trap in Gas Demand Forecasting
Most gas demand forecasts ride on one model. MetaCast treats model choice as evidence, comparing 16 forecasters and audited ensembles across delivery points, seasons, and horizons.
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