Power Hippo Regius
Dima Bône
Energy modelling and market intelligence. A best-in-market platform for dispatch optimisation, scenario analysis, and forecasting -- built for energy traders, utilities, and analysts who need accuracy you can audit.
Optimisation engine
Dispatch, unit commitment and storage in one model
A LOPF-based engine handles thermal, renewable, storage and contingency constraints together rather than as separate runs. Stochastic scenarios let you stress-test against fuel-price shocks, outages, or weather years without rebuilding the model.
- Mixed-integer unit commitment
- Storage and demand-response in the same dispatch
- N-1 contingency analysis
- Custom algorithm sandbox in Python and LaTeX
Forecasting
Accuracy you can audit
Forecasts target 99.7% accuracy across load, wind, solar and price, with full provenance for every figure -- you can trace any forecast back to the licensed source dataset that produced it. Backtesting and sensitivity tooling are first-class, not afterthoughts.
- Load, wind, solar, and price forecasts
- Full source-to-output lineage on every value
- Backtesting harness with walk-forward validation
- Sensitivity analysis built into every model
Data catalogue
Licensed, attributed, quality-scored
Every dataset carries source license, attribution, and a quality score so legal and compliance never have to ask "where did this number come from?" again. ENTSO-E, Elexon, RTE, REE, OPSD and more are wired in -- no synthetic or mock data ever in production.
- Source license + attribution on every record
- Quality score per timeseries
- ENTSO-E / Elexon / RTE / REE / OPSD built-in
- Bring-your-own private data with full audit trail
99.7%
forecast accuracy target
100%
custom-built IP
25+
open data sources wired in
UK + EU
full market coverage
Ready when you are
Open the platform if you already have an account, or get in touch to start a trial -- we walk through the dispatch and forecasting engines with you before you commit.