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Datasets (11)
- CSV
Future Energy Scenarios
We have been working with the other network companies as part of the Energy Networks Association (ENA) Open Networks project. The Whole System Electricity Future Energy Scenarios (FES) part of this…
- CSV
Future Energy Scenarios
Long term electricity forecasts per region covering demand, demand side response and distributed generation based on our Future Energy Scenarios. Regions presented are Grid Supply Points (GSPs) and…
- CSV
Trading
Super Stable Export Limit (SEL) is utilised to directly decrease the sum of the minimum MW level or SEL of generators synchronized to the system by lowering the minimum generating level at a…
- CSV
Future Energy Scenarios
The Future Energy Scenarios (FES) represent a range of different, credible ways to decarbonise our energy system as we strive towards the 2050 target. One of the FES outputs is an agreed set of data…
- CSV
Ancillary services
This dataset will contain our forecasted requirements for Static Firm Frequency Response.
- PNG
- CSV
Balancing costs
This dataset is a component of the Forward Plan 2020-21 commitment to increase the transparency of our operational decision making in the Balancing Mechanism (BM). It includes the publication of…
- CSV
Constraint management
A snapshot of the limits and flows at relevant boundaries at day ahead stage. These flow values are true for when the measurement was taken and will not reflect any changes in the flows following the…
- CSV
Generation
The dataset contains national and BMU wind forecast over a day ahead timescale as well as all historic day ahead wind forecasts to assist the industry to make efficient decisions in balancing their…
- CSV
Ancillary services
This dataset contains the results from daily auction for static FFR and buy orders. For service requirement see this page: Static FFR Requirements
- CSV
- PNG
Demand
This dataset contains national electricity demand forecast for day ahead as well as all historic day ahead demand forecasts. The forecast assist the industry to make efficient decisions in balancing…
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