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UIT-T�SG05� C�

UIT-T�SG05	N�mero m�ximo de documentos/p�gina:
EMF, environment, climate action, sustainable digitalization, and circular economy
Periodo de estudios 2022

Resultados :9 documentos

Contribuciones �[�Origen:�State Grid Corporation of China�]���
�	N�mero�	T�tulo	Origen	AI/Cuesti�n	Fecha
�	[ 556 ] � (Rev.1)�	Proposed new work item on L.ClimAI "Guidelines for Assessing the Impact of Artificial Intelligence on Environment" � �	China Telecommunications Corporation , China Unicom , State Grid Corporation of China �	Q9/5 �	2024-06-04
�	[ 541 ] � �	Proposed new work item on L.Carbon_DA "Guidelines for Data Annotation for Carbon Verification Knowledge Graph" � �	China Information Communication Technologies Group , State Grid Corporation of China �	Q9/5 �	2024-06-04
�	[ 540 ] � �	Proposal on First draft of Recommendation ITU L.GHG emissions_PS "Guidelines for GHG emissions accounting in power systems" � �	Ministry of Industry and Information Technology (MIIT) (China) , State Grid Corporation of China �	Q9/5 �	2024-06-04
�	[ 536 ] � �	Proposed new ITU-T Technical Report on L. TR_MAP_GHG "Methodology and Assessment for Projections of Urban Greenhouse Gas Emission" � �	State Grid Corporation of China �	Q9/5 �	2024-06-04
�	[ 535 ] � (Rev.1)�	Modification for ITU-T L.IEDL "Energy saving strategy for deep learning computing" � �	China Telecommunications Corporation , China Unicom , State Grid Corporation of China �	Q6/5 �	2024-06-04
�	[ 534 ] � �	Proposed new work item on L. PCF_SEM "Guidelines for the assessment of the carbon footprint of a smart electricity meter" � �	State Grid Corporation of China , China Information Communication Technologies Group �	Q9/5 �	2024-06-04
�	[ 489 ] � �	Proposed new work item L.DLEE "Deep Learning Computation Efficiency Evaluation framework and metrics" � �	China Telecommunications Corporation , China Unicom , State Grid Corporation of China �	Q6/5 �	2024-05-31
�	[ 408 ] � (Rev.1-2)�	Proposal to initiate a new work item ITU L.GHG emissions_PS "Guidelines for GHG emissions accounting in power systems" � �	State Grid Corporation of China, Ministry of Industry and Information Technology (MIIT) (China) �	Q9/5 �	2023-10-30
�	[ 403 ] � (Rev.1)�	Modification for L.IEDL "Energy saving strategy for deep learning computing" � �	China Unicom, State Grid Corporation of China, China Telecommunications �	Q6/5 �	2023-10-30
Resultados :9 documentos �

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