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Energy Data Task Force

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October 2018 to June 2019

PI: Eric Brown, CTO

Energy Data Task Force

Funded by: BEIS, Ofgem, Innovate UK


Laura Sandys (chair), Energy Systems Catapult, others who are expert in their fields.

Partners and stakeholders:

Broad engagement through Steering Group and Stakeholder Group



  • The Energy Data Taskforce has been established to develop a set of recommendations for how industry and the public sector can work together to facilitate greater competition, innovation and markets in the energy sector through improving data availability and transparency.
  • The aim of the taskforce is to produce a report that identifies how to move from the current data landscape to one where competition and innovation are enabled by more open, richer energy system data.


  • Work to date has developed a set of principles, recommendations and an emerging high-level plan.
  • Work now in progress is focussed on preparation of the final report.
  • Final Project Board on 12th June.
  • Launch and dissemination plans in discussion with the sponsors (BEIS, Ofgem, Innovate UK).

Emerging Principles

  • Presumed Open: Data about the energy system should be Presumed Open; instead of ‘can we open?’ the question is ‘is there a need to close?’
  • Data is Integral to Infrastructure: Requiring physical infrastructure to be evidenced through data on asset & operational behaviour
  • Discoverable, Searchable, Understandable: Revealing the “hidden” value in data that today is opaque, incomprehensible and inconsistent
  • Structures, Interfaces, Standards: Employing common structures & interfaces to enable data to be aggregated and utilised more effectively
  • Secure and Resilient: Deploying best practice to ensure openness without compromising security while building in greater resilience

Some Draft Recommendations

  • Data Catalogue: A central “index” of what data is held by energy parties curated using common metadata standards.
  • Progressive Registration Platform: Rationalise the proliferation of “registrations” to effectively capture new assets in a consumer-friendly way
  • Energy System Model: Develop a digital model of the system to inform asset procurement, investment needs and risks to the system

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