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Governing flexibility: Trust, time and agency in automated demand-side flexibility

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  • Poulter, Helen
  • Brisbois, Marie Claire

Abstract

Aligning electricity demand with renewable energy supply helps lower decarbonisation costs. This can be done through demand-side flexibility (DSF) markets, where users are rewarded for shifting their energy use to times of high renewable availability. However, participation is often limited due to complex incentives and users' limited ability or willingness to shift demand. Automation offers a solution but depends on users trusting the service providers—trust that is often lacking. We propose a conceptual framework connecting user time commitment and system enabled agency, examining how this influences trust in energy governance. We consider how consumer and competition policies can reduce user vulnerability and shift where trust is placed. Using secondary data, we apply this framework to three case studies—Australia, the UK, and New York State—analysing how governance processes support user trust, reduce vulnerability, or both. Should trust be a desired outcome, policy should be designed to reduce vulnerability by providing strong protections. Equally, users should be able to "trade" time to build trust in the system by participating in system governance, creating agency within automation. However, trust needs to be both deserved and maintained over time by the energy institutions for the acceptance of the automation of demand-side technologies.

Suggested Citation

  • Poulter, Helen & Brisbois, Marie Claire, 2025. "Governing flexibility: Trust, time and agency in automated demand-side flexibility," Energy Policy, Elsevier, vol. 206(C).
  • Handle: RePEc:eee:enepol:v:206:y:2025:i:c:s0301421525003131
    DOI: 10.1016/j.enpol.2025.114806
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    References listed on IDEAS

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    Cited by:

    1. Cátia Silva & Vânia Sofia Pereira & José Baptista & Tiago Pinto, 2025. "Artificial Intelligence and Energy," Energies, MDPI, vol. 18(18), pages 1-7, September.

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