Extracting Hidden Information on Building Energy State using Foundation AI Models applied to Remote Sensing Data and Street View Imagery

• Unité de recherche: INNOSUISSE
• Numéro de projet: 133.667 INNO-SBM
• Titre du projet anglais: Extracting Hidden Information on Building Energy State using Foundation AI Models applied to Remote Sensing Data and Street View Imagery

Mots-clé (Anglais)

Social sciences & business management, Finance

Résumé des résultats (Abstract) (Anglais)

This project advances energy and CO2 ratings for Real Estate Funds by applying AI to fill critical data gaps. Using remote sensing, street-view imagery, and large language models, we estimate building-level energy state information, enabling scalable and comparable assessment of fund portfolios.