Research Progress on Computing Power Network for the Power Industry
With the development of 5G and artificial intelligence technologies, the computing power network aims to address the uneven distribution of computing centers in the power industry and the technical barriers on the supply side, promoting computing power as a social-level service. This article explores key technologies such as data center interconnection architecture, network and resource scheduling with quality of service awareness, collaborative optimization of computing networks, and energy efficiency optimization in computing centers. It emphasizes the importance of establishing computing resource standards and data interface standards. Additionally, the article delves into the the application of artificial intelligence technology in the power industry including power grid load forecasting, power dispatching, and monitoring of transmission. Finally, the article provides an outlook on the future development of the computing power network, highlighting its potential and challenges in the industry's digital transformation.
Authors
- Xingping Wu
- Congfeng Jiang (ORCID: https://orcid.org/0000-0003-3592-0328)
- Jianing Niu (ORCID: https://orcid.org/0000-0001-7397-6619)
- Chunpeng Wu (ORCID: https://orcid.org/0000-0002-3970-8570)
- Long Yan
- Yun Chen (ORCID: https://orcid.org/0000-0002-9934-9979)
- Yonghe Guo
- Zhipeng Feng (ORCID: https://orcid.org/0009-0002-6539-236X)
- Yue Wang (ORCID: https://orcid.org/0000-0002-4501-8699)
Institutions
- State Grid Corporation of China (China) (CN)
- Hangzhou Dianzi University (CN)
Publication Details
- Published
- 2024-08-21
- DOI
- https://doi.org/10.1109/icicn62625.2024.10761814
- Citations
- 5
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.85
Funders
- State Grid Corporation of China