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- Title
“双碳”目标下绿色人工智能技术研究综述.
- Authors
卢毓东; 陈 益
- Abstract
The large-scale training of artificial intelligence (AI) has led to a significant surge in computational resource demands, energy consumption, and carbon emissions, which not only poses severe challenges to the realization of carbon peaking and neutrality goals by AI technology itself, but also impedes the application of AI in edge devices such as power inspection robots and UAVs. During the digital transformation of power grids under carbon peaking and neutrality goals, study of green AI for energy saving and carbon reduction is of great significance to the construction of new power systems and the advancement of AI. Firstly, the origin and definition of green AI and the key factors affecting the energy consumption of the model are introduced; then the current development status, key issues, improvement methods and effects of green AI model technology are discussed. Afterwards, the energy-saving and carbon reduction measures of high-efficiency physical infrastructures are discussed. Finally, the relevant suggestions and outlooks for the future development of green AI are presented.
- Subjects
DIGITAL transformation; DIGITAL technology; SUSTAINABLE development; CARBON emissions; ELECTRIC power distribution grids; GREEN technology; ENERGY consumption; CARBON offsetting
- Publication
Zhejiang Electric Power, 2023, Vol 42, Issue 10, p45
- ISSN
1007-1881
- Publication type
Article
- DOI
10.19585/j.zjdl.202310006