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Datasets (13)
- XLSX
- CSV
- XLSM
Ancillary services
The Firm Frequency Response (FFR) post tender reports are published following each monthly tender. They indicate which tenders were accepted and rejected and the information submitted for these…
- CSV
System
This data set gives indicative values for the average daily price (in £ per GVAs) for BM accepted offers tagged as being for System Inertia. The tagging process identifies the most likely main reason…
- 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.
- XLSX
- CSV
Ancillary services
Frequency Response Products Market Information Report aims to give guidance on the response products requirement and updates on recent changes to procurement of those products.
- CSV
Demand
There are a number of factors which influence transmission losses. These include variations in zonal generation patterns, growth in northern vs southern generation, level of Scottish exports to…
- 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
- 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…
- 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
System
This dataset contains an estimate of the outturn inertia and market provided inertia for Great Britain Transmission System.
- 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 assist the industry to make efficient decisions in…
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