ai-driven-energy-research/foundation-models-clean-energy: AIDER Vol. 1, No. 1 — Accepted Publication
Abstract
Foundation Models for Clean Energy Systems: A Scoping Review and Deployment Framework Author: Jianou Jiang — University of Oxford Published in: AI-Driven Energy Research (AIDER), Vol. 1, No. 1, 2026 This release marks the accepted version of the paper as published by AIDER. It includes: Full manuscript (LaTeX source in paper/) All source code for analysis, figures, and benchmark experiments (code/) Data and data documentation (data/) Research process log (process-log/) Reproducibility script (results/reproduce.sh) Submission & review: https://github.com/ai-driven-energy-research/submissions/issues/1 Journal website: https://ai-driven-energy-research.github.io
Fields of Study & Subjects
Artificial Intelligence Applications
Machine Learning in Materials Science
Integrated Energy Systems Optimization
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 March 2026
- Language
- EN