Nord Pool offers a comprehensive set of anonymised market and power system data for the European power market, to support transparency and informed decision making, with history dating back to 1992. This covers the Nordics, Baltics, Central Europe and Great Britain.
- Day-Ahead and Intraday Auctions Market Data: Detailed information on day-ahead and intraday auction prices, traded volumes, transmission capacities and market results across bidding zones. Enables users to analyse price formation and market dynamics.
- Power System Data: key insights gathered from the European TSOs (Transmission System Operators) for the physical power system (including production, consumption and flows), to support market monitoring.
- Aggregated Bidding Curves – day-ahead and intraday auctions’ aggregated bidding curves, based on aggregated bidding data from all Nominated Electricity Market Operators (NEMOs) in a bidding zone. or cluster of bidding zones. The curves published by Nord Pool include realised block order volume (supply and demand) and net import and export values.
Product benefits
- Reliable and up-to-date electricity market data, to help businesses and traders make informed decisions.
- Comprehensive geographical coverage: historical and real-time data from the Nordic and Baltic, United Kingdom and Central European regions, some dating back to the beginning of power exchanges in 1992.
- Nord Pool is the benchmark administrator of the Nordic System Price (“System Price”) for the Nordic day-ahead market for electricity.
- User-friendly and customisable solutions: delivers data through API, Nord Pool Data Portal (web portal) or tailored reports, allowing businesses to integrate information seamlessly into their operations.
Frequency and delivery
Delivered via:
- Market Data API
- Data Portal (web portal)
Delivered daily for all auction related data and Power System data, except Hydro Reservoir (weekly).
Use cases
- Back testing
- Trading
- Back office
- Investment strategies
- Listing
- Instrument creation
- Electricity resellers
- Academic research