Regulating AI for grid stability in Italy: a policy and governance framework for renewable energy integration

Mørch-Jensen, Marcus (A.A. 2024/2025) Regulating AI for grid stability in Italy: a policy and governance framework for renewable energy integration. Tesi di Laurea in Sustainable innovations, Luiss Guido Carli, relatore Riccardo Giovannini, pp. 67. [Master's Degree Thesis]

Full text for this thesis not available from the repository.

Abstract/Index

Literature review: AI and grid stability in Italy. AI in the energy sector. Grid stability in the Italian energy transition. Key Italian regulatory institutions for AI in energy. Existing policy frameworks for AI in grid management. Theoretical perspectives on AI regulation and innovation. Existing research on AI for grid stability. Methodology. Research design. Participant selection. Interview structure. Data analysis. Limitations. Empirical findings. Interview 1: Terna. Interview 2: ERG. Discussion. Synthesis of theoretical frameworks and empirical data. Cross-case comparison (Terna vs. ERG). Strategic management implications. Regulatory foresight & policy implications. Research contributions & theoretical implications. Recommendations for policymakers and regulators. Recommendations for energy firms (Terna, ERG and sector peers). Broader strategic recommendations for Europe.

References

Bibliografia: pp. 64-66.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Strategic Management (LM-77)
Chair: Sustainable innovations
Thesis Supervisor: Giovannini, Riccardo
Thesis Co-Supervisor: Folgiero, Pierroberto
Academic Year: 2024/2025
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 08 Jan 2026 10:55
Last Modified: 08 Jan 2026 10:55
URI: https://tesi.luiss.it/id/eprint/44612

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