Active PAR

P3378.7

Standard for Technical Requirements for Large-Scale Deep Learning Models in Power Industry

This standard provides a reference architecture for large-scale deep learning models in power industry. The reference architecture includes resource pools, architectures, tools, data resources, models, interfaces, industry applications, and service platforms. This standard specifies requirements for scenario service capabilities, general capabilities, and application maturity, which enables to evaluate the technical maturity and stability of large-scale deep learning models in power industry and determine whether large-scale deep learning models can be smoothly and effectively integrated into existing operations, processes, and systems. This standard provides a reference for third-party power industry researchers as well as regulatory and evaluation institutions to conduct capacity assessments of large-scale deep learning models in power industry.

Sponsor Committee
C/AISC - Artificial Intelligence Standards Committee
Status
Active PAR
PAR Approval
2024-09-26

Working Group Details

Society
IEEE Computer Society
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Sponsor Committee
C/AISC - Artificial Intelligence Standards Committee
Working Group
LMP-WG - Large-Scale Deep Learning Models in Power Industry
IEEE Program Manager
Christy Bahn
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