Document :

UIT-T SG05  (Période d'études 2025)  Contribution  616

Titre :

Proposed new work item on draft Recommendation ITU-T L.ES-AIAC "Energy saving strategies for AI agent collaboration in smart grid systems"

Reçu le :

2026-10-06

Source :

State Grid Corporation of China (China) , China Information Communication Technologies Group (China) , China Telecommunications Corporation (China)

AI/Question :

Q6/5

Réunion :

2026-10-20

Disponibilité :

Réservé aux utilisateurs TIES [UIT-T]

Résumé :

This contribution proposes to initiate a new work item on draft Recommendation ITU-T L.ES-AIAC "Energy saving strategies for AI agent collaboration in smart grid systems". Collaboration among artificial intelligence (AI) agents has become an important technology for smart grid systems, where AI agent collaboration enables intelligent perception, coordination and decision-making in smart grid systems. Achieving energy consumption optimization for the entire AI agent collaboration process while ensuring collaboration reliability poses an important challenge for the green and low-carbon development of smart grid systems. The background, factors affecting energy consumption, and energy saving strategies for AI agent collaboration in smart grid systems, as well as the gap analysis, are provided. In addition, the draft Recommendation document and A.1 justification are also provided.