T/CES 103-2022 Active Group standards

T/CES 103-2022 Power artificial intelligence edge-side model technology specification

T/CES 103-2022 Power artificial intelligence edge-side model technology specification

Publish Date: 2022-06-22 Implement Date: 2022-06-24 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
Price: $ 20.00
Out of stock

Basic Information

Standard Code: T/CES 103-2022
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: -
ICS Name: The application of information technology in industry
Publish Date: 2022-06-22
Implement Date: 2022-06-24

Scope

Scope: This document specifies the general requirements, security requirements, efficiency requirements, operator requirements, model application packaging requirements, and model evaluation indicators and methods related to the application of power artificial intelligence edge-side model technology. This document is applicable to intelligent analysis applications in scenarios such as power transmission, transformation, and distribution, as well as security inspections, with the aim of enhancing the intelligence level of power edge-side data collection and analysis and building a low-latency, low-bandwidth-dependent, cost-effective, data-controllable, and highly reliable edge-side artificial intelligence computing power empowerment system. Main technical content: The China Electrotechnical Society group standard T/CES 103-2022, "Power Artificial Intelligence Edge-Side Model Technical Specifications," was drafted and compiled by the Energy Intelligence Working Group of the Standard Working Committee of the China Electrotechnical Society and other units. This standard specifies the general requirements, security requirements, efficiency requirements, operator requirements, model application packaging requirements, and model evaluation indicators and methods related to the application of power artificial intelligence edge-side model technology, aiming to enhance the intelligence level of power edge-side data collection and analysis and build a low-latency, low-bandwidth-dependent, cost-effective, data-controllable, and highly reliable edge-side artificial intelligence computing power empowerment system.

Development Information

Related Standards

Contact Us