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ITU-T work programme

[2025-2028] : [SG5] : [Q11/5]

[Declared patent(s)]  - [Associated work]

Work item: L.FADR
Subject/title: Framework and Functional Requirements for Edge-driven Automated Demand Response
Status: Under study 
Approval process: AAP
Type of work item: Recommendation
Version: New
Equivalent number: -
Timing: 2028 (Medium priority)
Liaison: -
Supporting members: ETRI, Korea (Republic of), State Grid Corporation of China
Summary: Conventional demand response is performed based on manual intervention by users or simple control mechanisms according to the unidirectional reduction allocations from demand response service providers, resulting in response delay and limited reliability. To overcome these limitations, automated demand response enables the automated and distributed control of demand resources. Furthermore, edge-driven automated demand response introduces a proactive operational framework where the demand side autonomously calculates its real-time reducible capacity (flexible capacity of demand resources) using edge AI capabilities and preemptively provides this information to the demand response service providers. By supporting local decision-making based on contextual information, it enables the autonomous distributed coordination of demand resources. This allows the demand side to participate in the power market more flexibly by reflecting actual on-site environments, ultimately achieving more immediate and efficient demand management across the entire power grid This Recommendation defines: Functional requirements for automated demand response, including the monitoring, autonomous distributed coordination, data profiling of demand resources, and automated control of demand resources A framework for the edge-driven automated demand response, including its key functional entities of demand resource management and automated control of demand resources, and their interactions supporting edge coordination
Comment: -
Reference(s):
  Historic references:
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Contact(s):
Yoon Young AN, Editor
Jung Yul CHOI, Editor
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First registration in the WP: 2026-07-02 16:54:47
Last update: 2026-07-02 16:58:59