The FfE Price Forecast
The FfE price forecast gives you a detailed understanding of future price developments throughout Europe and assesses what these prices mean for you.
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Detailed Price Developments Across Europe and Their Impact on You
Get in touch with Dr.-Ing. Timo Kern and his team to arrange a non-binding initial consultation.
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- Electricity prices with high temporal resolution (1/4h): The FfE electricity price forecast contains electricity prices that can be displayed with a maximum resolution of 15 minutes. The price forecast is based on the ISAaR energy system model. The quarter-hourly generation and consumption profiles can then be used to generate electricity prices with the same temporal resolution using market equilibrium. The FfE electricity price forecast models prices from the current year to the year 2060.
- Day-ahead, intraday and balancing power markets: In the ISAaR energy system model, day-ahead prices are generated for countries throughout Europe. Intraday and balancing power prices are determined downstream using additional market models based on the day-ahead price level.
- Historical price levels and trends: A broad database of past market prices and an in-depth qualitative understanding of current trends enable us to place prices in their context. We are happy to support you in the contextualization and interpretation of price time series.
- Spreads and volatility of electricity prices: Based on the markets’ quarter-hourly price time series, we can perform various downstream analyses tailored to your specific problem. Spreads and volatility provide an insight into potential trading revenues. Seasonal profiles and type days help with an initial business model assessment.
- Profitability Assessment: The FfE electricity price forecast with its high-resolution, market-specific price series forms the basis for revenue calculations and profitability assessments of all kinds, for example for large-scale battery storage systems.
- Price uncertainty analyses: Like any forecast, the price forecast also involves uncertainty. By selectively varying system variables and comparing several scenarios, the uncertainty surrounding future prices can be assessed. In addition, important levers can be identified and their influence quantified.