See ahead. Save ahead.
Foresee combines physics-based and data-driven forecasting to predict day-ahead and intraday electricity prices, then optimizes your plant's thermal and electrical storage in real time — cutting energy costs automatically, without manual intervention.
Tomorrow's day-ahead price: forecasted.
Your storage dispatch: optimized.
Foresee runs a rolling-horizon cycle: forecast, optimize, dispatch, repeat — re-solving as new prices and plant data arrive.
Physics-based and data-driven models predict day-ahead and intraday electricity prices, giving the optimizer a reliable view of tomorrow's market before it happens.
A rolling-horizon optimizer schedules thermal and electrical storage charge/discharge cycles against forecast prices and plant constraints, re-solving as new data arrives.
Foresee EMIS turns optimized schedules into operating setpoints, continuously monitoring plant response and adjusting dispatch in real time.
Figures from peer-reviewed research on price-driven operation of industrial heat pump–thermal storage systems, underpinning Foresee's optimization models — not customer-specific guarantees.
Automated, price-aware dispatch shifts load and storage cycles to low-price hours — without manual scheduling or guesswork.
The supervisor re-optimizes continuously on a rolling horizon, adapting to new prices, weather, and plant conditions without operator intervention.
Optimization respects your process and equipment constraints, and every decision is logged and auditable for reporting and emissions documentation.
Foresee is a start-up applying research in energy engineering to the optimal control of heat pumps, thermal storage, and electrified industrial processes under variable electricity prices. Our first product, Foresee EMIS, is a real-time energy supervisor for sites where heat, electricity, or both dominate the energy bill.
EMIS turns market signals, weather, demand, on-site renewables, and waste-heat availability into concrete operating decisions — coordinating electrical and thermal storage, renewable self-consumption, and flexible loads as complementary resources, not separate subsystems.