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Written response to the Department for Energy Security and Net Zero call for evidence: Data for AI in the energy system

Written response to the Department for Energy Security and Net Zero call for evidence: Data for AI in the energy system
Written response to the Department for Energy Security and Net Zero call for evidence: Data for AI in the energy system
This response advocates for the provision of a government facilitated and governed interface (API) for live charge point data to enable the development of software and research addressing electric vehicle (EV) driver concerns when planning journeys. While regulations like the Public Charge Point Regulations 2023 mandate that charge point operators make certain data freely available, the current arrangements are impractical for real-world use. Each operator publishes data only for its own network, but this is often inconsistent, unreliable and in non-standard formats, requiring researchers and developers to negotiate access and maintain integrations on a per-operator basis.

Commercial aggregators, such as EcoMovement, address this fragmentation by packaging these data sources and selling access as a service. While this provides a workable solution, it falls short of enabling the Government’s objective of open, freely available charge point data that can be readily used to improve the EV charging experience. In practice, the fragmented and operator-specific nature of current data publication makes large-scale reuse costly and continues to constrain research and innovation.

By enabling reliable, standardised and openly accessible live charge point data on a national scale, the Government would unlock significant benefits across industry, academia and the EV user community. Improved data access would support the development of more accurate driver-facing services, better evidence-based infrastructure planning, and higher-quality research outcomes. Collectively, these improvements would enhance confidence in the public charging network, reduce friction for EV drivers, and support wider EV adoption - helping to advance the UK’s transport decarbonisation and net-zero objectives.
University of Southampton
Arcanjo, Bruno
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Buermann, Jan
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Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
Cruden, Andrew
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Arcanjo, Bruno
d0af4e09-60ab-42bd-a51a-4e4deb2daba8
Buermann, Jan
46ae30cc-34e3-4a39-8b11-4cbb413e615f
Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
Cruden, Andrew
ed709997-4402-49a7-9ad5-f4f3c62d29ab

Arcanjo, Bruno, Buermann, Jan, Stein, Sebastian and Cruden, Andrew (2026) Written response to the Department for Energy Security and Net Zero call for evidence: Data for AI in the energy system Southampton. University of Southampton 5pp. (doi:10.5258/SOTON/PP0177).

Record type: Monograph (Project Report)

Abstract

This response advocates for the provision of a government facilitated and governed interface (API) for live charge point data to enable the development of software and research addressing electric vehicle (EV) driver concerns when planning journeys. While regulations like the Public Charge Point Regulations 2023 mandate that charge point operators make certain data freely available, the current arrangements are impractical for real-world use. Each operator publishes data only for its own network, but this is often inconsistent, unreliable and in non-standard formats, requiring researchers and developers to negotiate access and maintain integrations on a per-operator basis.

Commercial aggregators, such as EcoMovement, address this fragmentation by packaging these data sources and selling access as a service. While this provides a workable solution, it falls short of enabling the Government’s objective of open, freely available charge point data that can be readily used to improve the EV charging experience. In practice, the fragmented and operator-specific nature of current data publication makes large-scale reuse costly and continues to constrain research and innovation.

By enabling reliable, standardised and openly accessible live charge point data on a national scale, the Government would unlock significant benefits across industry, academia and the EV user community. Improved data access would support the development of more accurate driver-facing services, better evidence-based infrastructure planning, and higher-quality research outcomes. Collectively, these improvements would enhance confidence in the public charging network, reduce friction for EV drivers, and support wider EV adoption - helping to advance the UK’s transport decarbonisation and net-zero objectives.

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Written_Response_to_DESNZ_AI_for_Data_in_the_Energy_System_2 - Version of Record
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Published date: 2026

Identifiers

Local EPrints ID: 511185
URI: http://eprints.soton.ac.uk/id/eprint/511185
PURE UUID: a14913e8-ab55-47a6-a425-de4ad738a8bf
ORCID for Bruno Arcanjo: ORCID iD orcid.org/0000-0003-0783-8394
ORCID for Jan Buermann: ORCID iD orcid.org/0000-0002-4981-6137
ORCID for Sebastian Stein: ORCID iD orcid.org/0000-0003-2858-8857
ORCID for Andrew Cruden: ORCID iD orcid.org/0000-0003-3236-2535

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Date deposited: 06 May 2026 16:35
Last modified: 07 May 2026 02:10

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Contributors

Author: Bruno Arcanjo ORCID iD
Author: Jan Buermann ORCID iD
Author: Sebastian Stein ORCID iD
Author: Andrew Cruden ORCID iD

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