Proof of value

What the data shows, and what it is worth to you

Seven views built from public data and the platform's own models. Each says who it helps, what it shows and how it turns into money or lower risk. Every chart updates as new data arrives.

Investors and lendersEnergy companies and analysts

Electric boilers and heat pumps already follow the price

This chart is being computed.

What it shows: Electricity used by Danish district heating's electric boilers and heat pumps, by price band, over the last year, and the last two weeks hour by hour.
How it helps: Proof that electrified heat is flexible in practice, not only in a model: it runs hard when power is cheap and stops when it is dear. NordShifts plans exactly this behaviour, plant by plant.

Investors and lenders

Where a battery earns most from daily price swings

This chart is being computed.

What it shows: What 1 MW of a 2-hour battery could earn per year from day-ahead price swings in 25 markets, last 12 months, upper bound.
How it helps: Shows where flexibility is worth most today and which markets to enter next. South-eastern Europe and Poland now swing more than Germany and the Baltics.

Investors and lenders

How the value moves month by month

This chart is being computed.

What it shows: The same battery value month by month in five markets.
How it helps: Investors see seasonality and compression as more batteries connect, the key risk in any revenue case.

Heat utilities and plants

What each asset is worth to a whole heat plant

This chart is being computed.

What it shows: A 150 MW plant with Helsinki's real demand: the yearly saving each flexible asset brings, and which unit makes the heat each month.
How it helps: Utilities size the next investment on evidence: the value of an electric boiler, heat pump or tank to their plant, not in isolation.

Heat utilities and plantsEnergy companies and analysts

The money in a better heat forecast

This chart is being computed.

What it shows: The yearly cost of forecast errors for a plant of your size with each model. Move the sliders to match your plant.
How it helps: Every MW forecast wrongly is covered by the most expensive unit at the last minute. Better models cut that cost every day.

Energy companies and analysts

Accuracy against training time

This chart is being computed.

What it shows: Every model in the catalogue: its error on the honest day-ahead test against the time it takes to train.
How it helps: Companies choose the model that fits their needs and budget, and can tune it further.

Investors and lendersHeat utilities and plants

The value of a 15-minute price nowcast

This chart is being computed.

What it shows: What the imbalance price nowcast was worth to a battery on two unseen weeks, by zone.
How it helps: Battery owners see where real-time trading adds income beyond the day-ahead market.

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