Calculating Great Britains half-hourly electrical demand from publicly available data
IA Grant Wilson, Shivangi Sharma, Joseph Day, Noah Godfrey

TL;DR
This paper introduces a method to estimate Great Britain's electrical demand by combining publicly available generation and interconnector data, creating a valuable, clean, and interoperable timeseries for research and analysis.
Contribution
The paper presents a novel approach to derive electrical demand data from public sources, integrating transmission and distribution data with improved data quality and interoperability features.
Findings
Created a publicly accessible demand timeseries for Great Britain
Enhanced data quality through visual flagging and linear interpolation
Facilitated research on decarbonisation trends since 2008
Abstract
Here we present a method to combine half-hourly publicly available electrical generation and interconnector operational data for Great Britain to create a timeseries that approximates its electrical demand. We term the calculated electrical demand ESPENI that is an acronym for Elexon Sum Plus Embedded Net Imports. The method adds value to the original data by combining both transmission and distribution generation data into a single dataset and adding ISO 8601 compatible datetimes to increase interoperability with other timeseries data. Data cleansing is undertaken by visually flagging data errors and then using simple linear interpolation to impute values to replace the flagged data. Publishing the method allows it to be further enhanced or adapted and to be considered and critiqued by a wider community. In addition, the published raw and cleaned data is a valuable resource that saves…
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