How Dnamiq calculates recommendations and comparisons
This page explains the method behind public price pages, timing tools, fixed-vs-dynamic comparisons, and in-app recommendations so you can verify what Dnamiq does and what it does not claim.
Where electricity prices come from
Day-ahead wholesale prices are ingested from the ENTSO-E Transparency Platform for enabled market areas (for example NL and DE-LU). Prices are stored in Dnamiq's database and served from cache. Public pages do not call ENTSO-E on every request.
How estimated consumer prices are calculated
Wholesale €/kWh is combined with a configurable tariff estimate: supplier markup, variable energy tax, variable grid fee, and VAT. Defaults match a typical Netherlands-style breakdown and are labelled as estimates, not a specific supplier quote.
How cheap and expensive periods are determined
Dnamiq finds continuous windows (for example ~2 hours) with the lowest and highest average effective prices. “Should I wait?” compares the cost of using electricity now with the best upcoming window for a representative kWh shift. Tiny euro differences are treated as not worth acting on.
What “potential timing value” means
Timing value is baseline cost minus optimised cost for a stated energy amount and deadline. It is a potential opportunity in euros, not proven historical savings. Device plans and alerts in Plus use the same optimiser with your devices and thresholds.
Fixed contract comparison (Dynamic Fit)
When you enter a fixed electricity rate, Dnamiq can compare it with estimated dynamic all-in rates from market data and tariff assumptions. Free users see a generic rate benchmark over recent available days. Plus users can also model enabled devices at optimised usage windows. The comparison is counterfactual: you did not switch contracts. Results are estimates. Taxes, supplier fees and real behaviour may differ.
Limitations
- No smart-meter or inverter live data in the current product.
- Solar self-consumption is not fully modelled yet.
- Tariff components are estimates unless you customise markup.
- Optimiser uses a simplified power/energy packing model.
- Day-ahead prices can differ from imbalance / real-time prices.