Short-term electricity spot forecasts
Get an accurate view of the day ahead prices in Finland and the impact of energy market changes.
"Your forecast brings a high quality comparative view alongside other day ahead forecasts. The accuracy of your forecasts has convinced us, especially for high and low prices."
"Increasing weather-dependent generation and decommissioned generation will increase the volatility of electricity prices in the future."
Short-term spot forecasts
We provide electricity spot market forecasts from the Finnish bidding zone for 7 days ahead using machine learning-based forecasting models.
Integrations
Integrate our latest spot forecasts into your systems using our API interface.
Precise accuracy
Average error of 14 EUR/MWh* in the first 24 hours. 22 EUR/MWh* week ahead error.
*Forecast error measurement period February-August 2024.
Short-term price forecasts for
Energy producers
Optimising energy production, processes, and day ahead offers.
Electricity retailers
Optimising day ahead offers and providing spot price forecasts to consumers.
Electricity distributors
Understanding the spot market, and providing spot forecasts to consumers.
Industry
Designing processes and production as they flex. Optimising market offers.
Energy optimization companies
Integrate spot forecasts into optimization systems. Optimization of electricity use and processes for industry and consumers.
How is the forecast formed?
The forecasting model reacts flexibly to different situations in the electricity market. The model uses weather forecasts, the status of power plants and transmission links, fuel prices, the hydropower in the Nordic countries, and several other variables as input data.
The forecasting model uses a wide range of data from European bidding zones. The implementation is based on non-machine learning heuristics in addition to machine learning.
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