AI-powered demand forecasting algorithms
Optimize your flexibility levers—without compromise
Our forecasting models are specialized, adaptive, and high-performing.
Expertise in distributed sites
Our forecasts are calibrated for distributed and complex sites, factoring in thermal inertia, user behavior, and equipment variability (HVAC, EV chargers, refrigeration).
Tailored to the field
Each site benefits from a custom predictive model, continuously adjusted based on consumption data, weather conditions, and operational events.
The result: more reliable and accurate decisions.
Operational performance
Our algorithms have already proven themselves with our clients and major energy players in Europe:
+15% accuracy improvement in forecasts
+10% better peak detection
Improve your forecasts, optimize your positions, and secure your operations
FAQ
Primarily energy players: suppliers, utilities, grid operators, and large consumers looking to anticipate their load. It’s a key building block to secure their operations, optimize procurement, or unlock additional value-added services.
It allows for better anticipation of peaks, reduced imbalance costs, optimized contractual commitments on energy markets, and minimized deviation risks. For a supplier or a balance responsible party, it’s a direct lever for profitability.
Yes. We tailor our forecasts to your specific needs—whether it's the time horizon (intraday, day-ahead, weekly), the granularity (from 5-minute to hourly), or the portfolio type (substations, B2B sites, residential sites, etc.).
In benchmarks with players like Alliander (the Dutch grid operator), our models outperformed in-house solutions on key indicators such as RMSE, peak accuracy, and CRPS.