COR-e Nuclear Availability Forecast
Unreliable raw data?
The maintenance schedule of power plants is a very important factor in anticipating fluctuations of the price in the electricity market. However, the fact to not take into account probabilistic parameters, such as outages or maintenance delays, results in a very wide gap between public data on forecasted availability and reality.
A response via artificial intelligence!
Thanks to our predictive models, you benefit from an accurate and daily updated calculation to feed your own analyses. We create these forecasts based on the analysis of historical data and all our other predictive models (anticipation of priority renewable capacities on the network, demand, interconnections between countries, prices of other energies, etc.).
| Access | Email, sFTP |
| Region | FR |
| Format | CSV, PDF |
| Frequency | daily |
| Granularity | hourly |
| History | On request |
What is provided
> Data in .csv format and hourly intervals for the current year and the next 2 calendar years (more on request)
> Benchmark vs RTE
> Report in .pdf format with graphic visualisations
Advantages
> Up to 3x more performant / realistic than official French data
> In your mailbox every morning, or in an FTP folder if you prefer
How to connect
> FTP client (optional)
COR-e FR Nuke Forecast
COR-e Nuclear Availability via Machine Learning. For further information, please click here.
Prices
€250 per month. Our prices are shown here.
About COR-e
COR-e offers an analytics platform using artificial intelligence to analyze several millions meteorological, industrial and financial data to predict power prices on European markets.
COR-e is a startup founded in 2017 and based in France. Its mission is to help energy stakeholders see data in new ways, discover new perspectives and focus on what is essential to them. Its business consists of aggregating data, modeling predictions and providing relevant information to enable faster and more informed decision-making in the markets.
More Services from COR-e
Go to product
COR-e Nuclear Availability Forecast
Unreliable raw data?
The maintenance schedule of power plants is a very important factor in anticipating fluctuations of the price in the electricity market. However, the fact to not take into account probabilistic parameters, such as outages or maintenance delays, results in a very wide gap between public data on forecasted availability and reality.
A response via artificial intelligence!
Thanks to our predictive models, you benefit from an accurate and daily updated calculation to feed your own analyses. We create these forecasts based on the analysis of historical data and all our other predictive models (anticipation of priority renewable capacities on the network, demand, interconnections between countries, prices of other energies, etc.).
Go to product 
COR-e Analytical Platform
Next generation decision support solutions for traders, analysts and all energy market professionals.
IA modelling (Spots & intraday, modeled by COR-e) & Pre-processed fundamental data (European power markets).