Report
Who gains from flexible heat and storage, how much it is worth, and how NordShifts captures it. Built from public data and the platform's own models, and rebuilt as new data and new models arrive.
Updated – · Market prices to – · heat models trained – · evidence –
This report updates itself: every night after the data imports, and as soon as a model is retrained or a new model joins the catalogue.
First edition. From the next nightly update this box lists what changed: new models, new markets, better scores and newer data.
Europe's power prices now change every 15 minutes, fall below zero on windy and sunny days and spike when the wind drops. Assets that can choose when they use or deliver energy, such as electric boilers, heat pumps with storage tanks and batteries, earn most of their value in a few hours of the day.
NordShifts plans these assets against the market. It learns each heat plant's demand from its own meter, forecasts it a day ahead with models tested on – days they never saw, and plans every unit of the plant together. In Denmark, electrified district heat already runs – times harder in the cheapest hours than in the dearest.
Across – markets, flexibility is worth most in –: up to €– per MW per year for a two-hour battery. Every figure in this report comes from public data and the platform's own models, with the method stated next to it.
Electricity used by Danish district heating's electric boilers and heat pumps, by price band, over the last year (Energinet). Measured behaviour, not a model: they run hard when power is cheap and stop when it is dear.
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Helsinki's real district heat (Helen) against the forecast made at 10:00 the day before with that morning's weather forecast, and its 80% range. The test period was never used in training.
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What 1 MW of a two-hour battery could earn per year from day-ahead price swings, last 12 months, one cycle a day with perfect foresight. An upper bound, measured the same way in every market.
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Every model in the catalogue on the same honest day-ahead test. Clients choose the one that fits them and can tune it; a new model appears here as soon as it has been tested.
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A 150 MW plant with Helsinki's real demand, all units planned together against the power price over a year. The yearly saving and the CO₂ avoided by each asset (upper bound: demand and prices known a day ahead).
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What the imbalance price nowcast was worth to a battery on two unseen weeks, by zone, in € per MW per year.
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Demand learned from their own meter, a whole-plant plan each day, reserve bids within safe headroom and evidence for the next investment: boiler, heat pump or storage.
Independent monthly revenue audits against frozen forecasts, revenue by stream and market, and imbalance nowcasting for real-time trading.
Market rankings across Europe and Asia-Pacific, saturation trends and investment memos built from data, every figure sourced.
Flexible headroom and demand forecasts per site, customer cases and proposals built from meter files in minutes.
01
Heating and cooling are about half of the EU's final energy use, and district heating is electrifying fast with boilers, large heat pumps and storage.
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More wind and solar and 15-minute day-ahead trading since October 2025 make price swings deeper and more frequent: the source of value for every flexible asset.
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The same public data covers – markets. A new client needs a meter file, not new hardware, so revenue grows faster than cost.
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Honest day-ahead tests, a public record of every forecast and AI agents that cite every figure: results that boards, banks and buyers can check.
All free, public or the client's own. Loaded on schedule by the nightly job.
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For a pilot on your plant or portfolio, a partnership or an investment conversation, write to Girts Liepins, founder.