Optimize energy flows with AI-powered forecasting and analytics

Improve forecast accuracy across renewable generation, demand, and distributed energy resources to reduce imbalance costs, optimize market positions, and support more reliable energy operations.

Overview

Improve forecast accuracy across distributed energy assets

Our forecasting platform has automatic model selection and retraining mechanisms, aimed for improving forecasting accuracy as operating conditions evolve.

Reduce operational effort with SAP integration

Exchange data seamlessly through secure APIs between SAP Distributed Energy Resources and the solution's forecasting engine. Eliminate manual data transfers while keeping forecasts synchronized with operational and market data.

Maintain reliable forecasts as asset behavior changes

Detect model drift, identify data quality issues, and automatically retrain forecasting models when performance declines. This ensures consistently accurate forecasts without manual intervention.

Details

Solution type

APIs and Technical Components

Industry

Oil, Gas, and Energy, Cross-Industry

Compatibility

Works with

This product is compatible with or enhances the functionality of these SAP solutions but doesn't require them.
SAP S/4HANA UtilitiesSAP Cloud for Utilities

Features

Optimize forecasting models automatically

The Forecast Engine Factory evaluates multiple AI algorithms and ensemble combinations during each retraining cycle. It deploys the configuration expected to deliver the highest forecasting accuracy for each scenario, adapting continuously as operating conditions evolve.

Optimize forecasting models automatically
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Detect model drift and retrain automatically

Continuously monitor forecast accuracy and detect when model performance declines due to changing weather patterns, asset behavior, or operating conditions. When predefined thresholds are exceeded, the platform automatically starts a new training cycle to restore forecast accuracy.

Detect model drift and retrain automatically
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Validate data before generating forecasts

The solution automatically identifies missing values, outliers, and inconsistent operational or weather data before forecasts are generated. Built-in data validation improves forecast reliability, reduces manual investigation, and increases confidence in operational decisions.

Validate data before generating forecasts
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Plans and pricing

All plans include:

Self-service assets definition and updatesAutomatic forecast engine generationAutomatic and self-service forecast engine retrainingSelf-service forecast schedulingAutomatic and self-service forecasts delivery, including accuracy and other relevant metrics