Most price-curve providers hand you an output and ask you to trust it. PowerLens is built the other way round: an open model, assumptions you set yourself, public data cited source by source, and the model's own weaknesses stated up front. If a number surprises you, you should be able to find out why.
Built on PyPSA + HiGHS, the open-source dispatch framework used across European system planning — not an engine you have to take on faith.
Commodity prices, demand, capacity and per-technology build-out are all live controls. You set them, you change them, the curve recomputes — nothing is hard-wired out of reach.
Calibrated only on public datasets — ENTSO-E, IRENA, Ember, Eurostat, TYNDP. No proprietary feed sits between you and the result, and every source is named below.
Where the model is weak — its ten-zone wholesale-only scope, its known biases, its in-sample calibration — is written down and handed to you, not discovered in month three.
Everything the model is calibrated on is public and traceable. These are the sources — no hidden dataset, nothing you can't go and check yourself.
The complete methodology note and the assumptions-and-sources register — the dispatch formulation, the marginal-cost stack, the 2024 backtest against ENTSO-E, every calibration choice and every data point — ship with every engagement and are available inside the app. We'll walk you through any number that matters to your decision. That openness is the product, not a footnote to it.
Book a 30-minute demo and we'll run your market live — assumptions visible, sources cited, limitations included.