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EnAppSys (Montel EnAppSys) — A pan-European short-term power market data estate built and maintained since 2003, and the forecasting layer trained on it. The platform is stated to hold more than 40 billion data items and to ingest roughly 22 terabytes of new data every month across 32 European countries. Coverage observed in the product navigation for the Great Britain market alone spans: a live market activity feed; ancillary and balancing services with availability prices and volumes by service; battery-specific activity; balancing-unit-level combined service activity; embedded auction capa…
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A pan-European short-term power market data estate built and maintained since 2003, and the forecasting layer trained on it. The platform is stated to hold more than 40 billion data items and to ingest roughly 22 terabytes of new data every month across 32 European countries. Coverage observed in the product navigation for the Great Britain market alone spans: a live market activity feed; ancillary and balancing services with availability prices and volumes by service; battery-specific activity; balancing-unit-level combined service activity; embedded auction capacity price forecasts together with their forecast history; system-operator balancing actions at unit level; frequency and reserve services; day-ahead and intraday prices; generation, demand and interconnector flows; and installed capacity by fuel with projections to 2050 under multiple scenarios. The proprietary byproduct is the model layer: machine-learning forecasts of imbalance and balancing prices, intraday net-renewable-variation forecasts that flagged a short system ahead of the market, and per-unit ancillary participation records — plus the tick-level activity history the platform accumulates by ingesting operator, exchange and trading data faster than the public sources publish it.
From 23 yearsCoverage Financials · UtilitiesAsset class Commodities · Derivatives · Equities
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EnAppSys (Montel EnAppSys) — A pan-European short-term power market data estate built and maintained since 2003, and the forecasting layer trained on it. The platform is stated to hold more than 40 billion data items and to ingest roughly 22 terabytes of new data every month across 32 European countries. Coverage observed in the product navigation for the Great Britain market alone spans: a live market activity feed; ancillary and balancing services with availability prices and volumes by service; battery-specific activity; balancing-unit-level combined service activity; embedded auction capa…
Data offers (Price, Alternative, Supply Chain, Geospatial) — Stated by the company: more than 40 billion data items held, with roughly 22 terabytes of new data ingested each month — of the order of 264 terabytes per year of incremental ingestion. This is a genuinely large tick-and-period-level power market archive, not a curated indicator set..
Training imbalance and balancing price forecasters; intraday and day-ahead trading model development across 32 markets; battery optimisation and ancillary-stack revenue models using participation labels; renewable forecasting and net-variation model training against realised outcomes; imbalance-risk and hedging strategy backtesting; trading-strategy research requiring ex-ante forecast history without lookahead bias; grid-operator and regulator analysis of ancillary procurement efficiency; storage and flexibility asset valuation; and reinforcement-learning environments for power trading built on historical unit-level participation.
The data is with 23 years of history.
Coverage spans US, Other, UK, Europe; Financial Exchanges & Data, Electric Utilities; price, alternative, supply_chain, geospatial; commodities, derivatives, equities, fx.
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