Published April 21, 2021
| Version v1
Dataset
Open
Supplementary Material for "Probabilistic Day-ahead Inertia Forecasting"
Authors/Creators
- 1. Imperial College London
- 2. University of Strathclyde
Description
This data set is supplementary material for the paper 'Probabilistic Day-ahead Inertia Forecasting' by Evelyn Heylen, Jethro Browell and Fei Teng. Future releases are subject to change following revisions of this article.
This dataset contains data of the Great Britain power system of 2016 - 2018. More specifically, data are included related to demand (day-ahead forecast and out-turn), generation by different generator types, interconnection flows, day-ahead electricity price, wind and solar generation (day-ahead forecasts and out-turn) and estimated inertial energy from transmission-connected synchronous generator units. The resolution of the data is 30 minutes.
Notes
Files
GB_data_2016_2018.csv
Files
(32.6 MB)
| Name | Size | Download all |
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md5:eaad9887deedb6ebe7931a83ea719af5
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32.6 MB | Preview Download |
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md5:39446c15f99f144bea95a1028b8173e6
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8.3 kB | Preview Download |
Additional details
Funding
- UK Research and Innovation
- System-wide Probabilistic Energy Forecasting EP/R023484/1