Wholesale datasets
This repository contains the Python code and data used for the modelling described in Appendix B of the Authority’s ‘2024 Risk Management Review (RMR)’.
The code evaluates the effectiveness of various portfolios using retail demand and pricing data from 2023, recreating the scenarios used in the RMR. The repository includes the data used by the Python code, the outputs produced when executing the Python code, and the plots that were generated for each scenario. The Python code includes options to customise and rerun scenarios.
Downloading the zip file and unpacking it will create the repository while preserving the folder and content structure described in the README file.
| Name | Date modified | File size |
|---|---|---|
| README.txt | 14 Nov 2024 | 04 KB |
| RiskManagementReview2024.zip | 13 Nov 2024 | 88,594 KB |
Datasets are collections of files that often contain large volumes of data and are available for immediate download. Dataset users are typically analysts familiar with the electricity industry and have a need to obtain a large set of data or specific data on a regular basis.
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