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Datasets (31)
- CSV
- PNG
Demand
This dataset contains national electricity demand forecast for 7 days ahead as well as all historic 7 day ahead demand forecasts. The forecast assists the industry to make efficient decisions in…
- CSV
- PNG
Demand
This dataset contains national electricity demand forecast for 2 days ahead as well as all historic 2 day ahead demand forecasts. The forecast assists the industry to make efficient decisions in…
- CSV
Demand
This dataset contains the historical and forecast profile dates used to convert our Cardinal Point forecasts into half hourly demand forecasts between the start of 2018 up to 14 Days Ahead. The…
- CSV
Demand
This dataset contains national electricity demand forecasts for 2-14 days ahead (medium term) as well as all historic 2-14 days ahead forecasts. These forecasts assist the industry to make efficient…
- CSV
- PNG
Demand
This dataset contains national electricity demand forecast for day ahead as well as all historic day ahead demand forecasts. The forecast assists the industry to make efficient decisions in balancing…
- 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
- DOC
- CSV
Demand
This section contains historic electricity demand, interconnector, hydro storage pumping, Non-BM Short Term Operating Reserve (STOR), wind and solar outturn data.
- 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
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
Demand
This dataset contains incremental updates for 2-52 weeks ahead demand forecast. The forecast assist the industry to make efficient decisions in balancing their supply and demand positions.