This is like a very smart weather forecast, but for electricity and energy: it predicts how much energy will be needed or produced in the future so utilities and grid operators can plan ahead and avoid costly surprises.
Reduces forecasting errors in energy demand and generation so utilities, traders, and grid operators can better plan generation, purchasing, and grid capacity, lowering imbalance costs and improving reliability.
Domain-specific forecasting know‑how and historical energy data combined with integration into Hitachi Energy’s broader portfolio management and grid solutions, creating a sticky workflow for utility and trading customers.
Classical-ML (Scikit/XGBoost)
Time-Series DB
High (Custom Models/Infra)
High-frequency, high-dimensional time-series data ingestion and maintaining forecasting accuracy across many assets and horizons without exploding compute cost.
Early Majority
Packaged as a dedicated AI-based forecasting product within a larger energy portfolio management suite, tailored to utility and grid-operator workflows rather than being a generic ML forecasting toolkit.