> For the complete documentation index, see [llms.txt](https://docs.jua.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.jua.ai/athena/data-availability.md). # Data Available in Athena Athena can pull and analyze the data sources listed on this page. For each source you can see what data it contains, the regions it covers, and the time range available. Date ranges run to the present and keep growing, so the start dates and update cadence are the stable facts to rely on. Weather forecast models (Jua's EPT family and third party models such as ECMWF, GFS and ICON) are documented separately in the [Summary: Available Weather Models and Data](/models-and-products/models-and-products.md#summary-available-weather-models-and-data) table. This page covers power, energy market, climate and historical data. ## Power & Energy Markets ### Power Forecast Jua's dedicated machine learning forecast for electricity generation (Solar and Wind) in key European power markets. See the [Power Forecast](/models-and-products/power-forecast.md) page for coverage, generation types, horizon and update frequency. ### ENTSO-E European electricity market and power system data from the ENTSO-E Transparency Platform: prices, demand, generation, transmission system operator (TSO) forecasts, cross border exchanges, and generation and transmission outages. **Market and system data** | Field | Details | | -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | Data available | Day-ahead electricity prices; imbalance (balancing) prices and volumes; actual electricity demand (load); actual generation broken down by source type; day-ahead and intraday TSO forecasts (total generation, load, and wind and solar by type); cross border physical flows; commercial scheduled exchanges; net positions; net transfer capacity (day-ahead, week-ahead, month-ahead); redispatch and countertrading volumes; intraday offered capacity; and available hydro capacity. Generation is split across roughly 20 source types including Wind Onshore, Wind Offshore, Solar, Nuclear, Fossil Gas, Hard coal, Lignite, Oil, three Hydro types, Biomass, Geothermal, Waste, Energy storage and Other. | | Coverage | Around 55 European bidding zones across Western, Central and Southeast Europe, the Nordics, the Baltics and the Balkans. Includes France, Germany (DE\_LU plus the four TSO control areas), the Netherlands, Belgium, Spain, Portugal, Italy (six zones), Norway (five zones), Sweden (four zones), Denmark (two zones), Poland and many more. Great Britain data is mostly historical and stops around 2020 to 2021 following Brexit. Northern Ireland (GB\_NIR) remains fully covered and current through the all island market. For current GB power data, use the NESO source instead. | | Date range | Continuous coverage from January 2020 to present. Forward looking series such as day-ahead prices and forecasts extend into the future. | | Freshness | Current to the present day. Actual prices, load and generation are available through the current day. Imbalance prices and volumes can lag 1 to 14 days depending on the zone. | **Outages** | Field | Details | | -------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Data available | Planned maintenance and unplanned outage records for individual power generation units (with available capacity, plant type and unit identity) and for transmission lines. Generation outages span roughly 20 plant types matching the generation source categories above. | | Coverage | Around 30 countries across Europe, including Germany, Italy, France, Czechia, Poland, Greece, Hungary, Spain, Switzerland and Great Britain. | | Date range | Outage records carry start and end dates from 2015 through future dated planned maintenance. Continuous ingested coverage begins around October 2025. | | Freshness | Updated daily, current to the present day. | ### NESO (UK Power) UK (Great Britain) power generation actuals plus NESO day-ahead forecasts. Use this for British power data, since the UK is not on the ENTSO-E platform. | Type | What you get | | ------------------- | ----------------------------------------------------------------------------------------------------------------------- | | Actuals | Wind (single combined total of transmission and embedded), Solar (national estimate), Load (transmission system demand) | | Day-ahead forecasts | Wind (transmission and embedded), Embedded solar | * Coverage: Great Britain (national level). * Date range: actuals (wind, solar, load) continuous from January 2021. Day-ahead wind forecast from January 2021. Day-ahead embedded solar and embedded wind forecasts from January 2023. Continuous to present. * Freshness: updated daily. Actuals are current to within roughly a day. Day-ahead forecasts extend into the next day. Wind is reported as one combined figure with no onshore or offshore split. Prices and cross border flows are not provided through this source. ### EPEX SPOT EPEX SPOT power exchange data for the German and Luxembourg (DE-LU) electricity market: day-ahead auction prices, intraday auction prices and volumes, and continuous intraday trading statistics and indices. **Day-ahead auction** | Field | Value | | -------------- | ---------------------------------------------------------------------------------------------------------- | | Data available | Day-ahead auction clearing prices and cleared volumes, plus the official day-ahead price index. | | Coverage | DE-LU | | Date range | September 2018 to present. Hourly history through September 2025, quarter hourly from October 2025 onward. | | Freshness | Current. Next day prices are available after the auction clears (around 13:00 CET daily). | **Intraday auctions (IDA1, IDA2, IDA3)** | Field | Value | | -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Data available | Intraday auction clearing prices and cleared volumes for the three intraday auctions, at quarter hourly resolution. IDA3 has occasional gaps because it is a late, sparsely traded auction. | | Coverage | DE-LU | | Date range | June 2024 to present | | Freshness | Current, ingested daily. | **Continuous intraday trading** | Field | Value | | -------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Data available | Continuous trading statistics (volume weighted average price, last, low and high price, buy and sell volumes) and the official intraday price indices ID1, ID3 and IDFULL at 15, 30 and 60 minute resolutions. | | Coverage | DE-LU | | Date range | December 2020 to present | | Freshness | Updated end of day. May lag the auction data by roughly a day. | ### Netztransparenz German electricity grid transparency and balancing data, published by the four German transmission system operators through Netztransparenz.de. | Group | What it covers | | ----------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------- | | Balancing energy and control reserve | Activated secondary (aFRR) and tertiary (mFRR) reserve, primary reserve (FCR), network control balance, and the rebap balancing energy price. | | Balancing cost accounting (AEP) | Balancing energy price components and modules (AEP Module 1 to 3), financial impact, and intraday balancing price. | | Curtailment and emergency measures (AbSM) | Adjustment measure quantities (allotted, declared, generation bans), interruptible loads, and emergency assistance flows. | | Renewable feed-in and marketing | Solar and wind feed-in estimates and EEG marketing volumes across exchanges (EPEX, EXAA) for solar, wind and other sources. | | Relief region detail | Quantities broken down by grid relief regions (H1 to H2, T1 to T6) and by hourly windows. | * Coverage: Germany (national, plus per operator and per relief region breakdowns). Many series are available per transmission operator (50Hertz, Amprion, TenneT, TransnetBW) and combined for all of Germany. * Date range: continuous from January 2023 to present. * Freshness: current, refreshed daily. The most recent weeks are preliminary figures that are later replaced by quality assured values. ## Climate & Historical ### Reanalysis (ERA5) Historical actual weather, meaning what really happened at a given place and time. This is ECMWF's ERA5 reanalysis, the most widely trusted record of past global weather. It is not a forecast. | Field | Value | | ---------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Data available | 2m air temperature, surface (skin) temperature, sea surface temperature, 2m dew point, mean sea level pressure, surface pressure, 10m and 100m wind speed and direction, 10m wind gust, surface solar irradiance (downwelling, net and direct), total cloud cover plus high, medium and low cloud cover, hourly precipitation total, convective available potential energy (a storm and instability indicator), and predominant precipitation type. | | Coverage | Global. 0.25° grid (about 25 km spacing, roughly 1.04 million grid points per hour). Hourly. | | Date range | 1 January 1990 to roughly one week before the present day. | | Update frequency | Not real time. ERA5 runs about a week behind the present, so use it for historical analysis rather than current conditions. | ### Climatology (ERA5) A 30-year "normal" that tells you the typical weather for any given day and hour of the year, anywhere on Earth. It answers "what is usual for this time of year here?" rather than "what is the forecast?" or "what actually happened?". It is built from ERA5 reanalysis and smoothed so each day blends in the weather from the surrounding two weeks. | Field | Value | | ---------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | Data available | Typical conditions for each day and hour of the year: 2m air temperature, 2m dew point, mean sea level pressure, 10m and 100m wind speed and direction, low, medium and high cloud cover, hourly precipitation total, and hourly total and direct solar radiation. | | Coverage | Global. 0.25° grid (about 25 km), latitude 89.75°S to 90°N, longitude 180°W to 179.75°E. | | Reference period | 1991 to 2020, the WMO standard 30-year climate normal. | | Resolution | One value per day of year and hour (366 days by 24 hours), with each day smoothed over a 15-day window on either side. | Because this is a climatology, there is no single calendar date. Values repeat every year. Day 366 (29 February) is included. ### Climate Indices Standardized climate oscillation indices that describe large scale atmospheric and ocean patterns (for example NAO, the El Nino and La Nina ENSO indices, the Arctic Oscillation, the Madden-Julian Oscillation, the Pacific Decadal Oscillation, and solar sunspot activity). These are the slow moving background drivers behind seasonal weather regimes. Data available: 43 indices in total, grouped by theme. | Theme | Count | Notable examples | | -------------------------------- | ----- | ------------------------------------------------------------------------------------------------------------- | | Atmospheric oscillations | 11 | NAO, AO, AAO, PNA, PDO, QBO, AMO, SOI, WPO, EPO, GBI | | Teleconnection patterns | 4 | EA, SCAND, EAWR, TNH | | ENSO (El Nino and La Nina) | 12 | Nino 1+2, 3, 4 and 3.4 sea surface temperatures and their anomalies, plus MEI and ONI | | Atlantic sea surface temperature | 3 | TNA, TSA, AMM | | Madden-Julian Oscillation (MJO) | 14 | Four daily RMM components (RMM1, RMM2, phase, amplitude) plus 10 longitude resolved velocity potential series | | Solar | 1 | SUNSPOT (monthly sunspot number) | * Coverage: global climate patterns, not tied to a single region. Each index is a single time series describing a hemispheric or basin scale mode. * Date range: the earliest record is the sunspot series at 1749. Most atmospheric and ENSO indices start in the 1950s. The daily MJO RMM series starts 1974, and the MJO velocity potential series starts 1978. Latest values run to the most recent completed period. * Update cadence: mixed. Monthly for most indices, daily for the MJO RMM indices, and every five days (pentad) for the velocity potential MJO series. * Sources: NOAA (PSL and CPC), the Australian Bureau of Meteorology (daily MJO RMM), and SIDC (sunspots). --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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