Home>AI for Energy Efficiency: Emerging Policy Initiatives and Lessons from Case Studies
7 July 2026
AI for Energy Efficiency: Emerging Policy Initiatives and Lessons from Case Studies
This student report was produced as part of the course 'The Future of European Energy Efficiency Policies' at Sciences Po and is one of a series of publications showcasing the work of students in the course. Through applied research and policy analysis, students explore the future of energy efficiency policies in Europe: How existing regulation could be updated and which additional policy measures could be taken.
By Yeojin Kim, Xinzhi Li, Alessandra Turrisi, Elora Tribout and Cléo Wloczysiak
Abstract
This report presents an overview of public policies on AI for energy efficiency across seven international case studies spanning the buildings, transportation, and cross-sectoral energy systems. It proposes an analytical framework to assess each initiative along two dimensions: completeness of its design and implementation, and its potential for replicability across different contexts. It finds that while AI holds significant potential for reducing energy consumption, deployment remains uneven and largely small-scale. Key findings across sectors suggest that digital infrastructure is a prerequisite for AI deployment, that significant challenges related to data collection frameworks and data availability remain, and that further research and innovation is needed to address existing technological gaps. The report also outlines sector-specific implications for policymakers seeking to scale AI-driven energy efficiency initiatives.