For teams exposed to weather
Energy traders, grid operators, and logistics planners share one challenge in different forms: identifying the forecast data that best reflects their exposure.
Compare providers before the morning session
Across Northern Europe, temperature is the biggest contributor to intraday power price volatility. A forecast drifting by two degrees Celsius during peak demand can move your book by six figures in one session. Climingo scores providers against the hours, regions, and variables driving the most volume, giving you an evidence-based basis for choosing which data source to trust each session.
Scores refresh at 06:00 UTC, giving your morning briefing benchmarks instead of an argument over whose spreadsheet is right.
"Our internal spreadsheets were two weeks out of date before Climingo. Now the morning briefing begins with the benchmark." Senior Trader, a European independent power producer
Limit reserve activations through sharper dispatch insight
Northern European grids depend heavily on weather-sensitive generation. When a wind ramp event is misforecast at a 24h horizon, operators may activate unnecessary reserves and take costly balancing positions. Climingo identifies the providers that consistently detect ramp events in your control area, allowing balancing contract procurement to rely on outcome data instead of vendor accuracy claims.
Examine performance by variable: which provider forecasts wind well but misses overnight temperature inversions, and how does that fit your particular obligation mix?
"The decline in wind ramp event skill scores warned us six weeks before contract renewal. We could negotiate with evidence rather than simply continuing as before." Head of Balancing, a UK grid services team, early-access pilot
Tighten routing buffers using better data
Inaccurate precipitation and wind forecasts produce cautious routing buffers, increasing fuel use and dock wait times. A provider that performs better against your route history may reduce that buffer by 15 to 30 percent without raising disruption risk. Climingo enables logistics planners to test the result on their own data before signing a new data contract.
The report measures precipitation accuracy at dock-hour resolution for loading schedules, rather than relying on daily regional averages that hide delay-causing variation.
"We chose a new provider after comparing it with our own load records through Climingo. Weather-related delays declined by a measurable margin during the first quarter after the change." Head of Fleet Operations, a regional distribution company
Findings from pilot users
Our procurement team valued the skill scores most when they were split by variable and horizon. Vendor claims based on national averages offer very little value for our trading zone.
We evaluated the benchmark in parallel over 60 days and found that its scores matched calculations from our own actuals. That replicated result gave us confidence in using it for the contract decision.
Find the best provider on your data
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