Research on Power Scientific Innovation Technology Empowered by AI4S Based on AI Middle Platform
With rising global energy consumption and the importance of environmental preservation, the implementation of green and low-carbon energy transformation has become a global consensus. China's “dual carbon” strategic goal has sped up the transformation process. In this area, artificial intelligence (AI) has demonstrated significant potential for enhancing system operational efficiency, resource allocation, energy demand forecasting, and fault detection. However, power systems are facing massive and complex data problems, which urgently requires an effective and centralized data processing and analysis platform to help it. To address the above challenges, this paper proposes a stage integrating multiple AI technologies-AI middle platform, with the goal of providing a unified and shared technology service platform for the power system, and promoting power scientific research and innovation. Furthermore, this paper discusses the integration strategy of AI middle platform and AI for Science (AI4S), and proposes the use of AI middle platform and AI4S in the agile development process of power AI applications, with the goal of accelerating scientific research and expedition and promoting the deep integration of technological innovation and application. This paper not only provides theoretical support for the intelligent transformation of the power system, but it also outlines a viable path and mechanism for its practical implementation.
Authors
- Chengyuan Li
- Kehe Wu
- Yuxi Zhang (ORCID: https://orcid.org/0000-0001-9085-0372)
- Hongbin Xie (ORCID: https://orcid.org/0009-0008-2057-9060)
- Baoliang Zhang
- Long Khuc Dai (ORCID: https://orcid.org/0009-0007-6004-7272)
- Yinghui Xu
- Yuan Jiang
Institutions
- North China Electric Power University (CN)
- China University of Mining and Technology (CN)
- China Electric Power Research Institute
Publication Details
- Published
- 2024-11-20
- DOI
- https://doi.org/10.1109/dsins64146.2024.10992058
- Primary Topic
- Diverse Interdisciplinary Research Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00