We use machine-learning models trained over vast amounts of data to forecast rolling 168 hours (prompt week). Our models utilise highly detailed weather, capacity, demand, seasonality and other features to produce hourly electricity market forecasts of:
In development are additional models to forecast:
Machine Learning models projecting 168-hours of power spot prices to support near-term trading and asset optimisation.
Long-term forecasts for renewable energy capacities and capture prices to support investment analysis, project valuation and strategic planning.
Benchmark your asset or investment opportunity against historic capture price and revenue data for RES and BESS.
Post and browse teasers relating to development or operating assets. See who is doing what in our market news section or connect with other members.