Research and Application of the Energy Science and Technology Intelligence Brain Integrating Large Model Technology and Patent Big Data Analysis
Purpose/Significance] In the context of global carbon peak and carbon neutrality, China’s new energy industry has experienced rapid development, with its installed capacity consistently ranking first worldwide. To further strengthen and optimize this industry, there is an urgent need for technological empowerment to create a new quality of productivity and maintain competitive advantages. [Method/Process] This paper proposes an integration concept based on “energy technology + intelligence methods + digital intelligence technology”, incorporating advanced digital intelligence technology of large language models, and an energy technology analysis method with patent big data analysis as the starting point. [Results/Conclusion] D developed and established an energy central enterprise technology intelligence system that encompasses core functions such as industrial technology, enterprise talent, and industry trends. Based on this system, we have conducted an analysis study on cadmium telluride solar technology. Furthermore, the system has already provided practical support for the technological innovation work of national ministries, energy central enterprises, and others, which is of great significance for enhancing the development of China’s energy technology.
Authors
- Xiaoning Ge (ORCID: https://orcid.org/0000-0003-2598-2015)
- Xueying Liang
- Shuo Li (ORCID: https://orcid.org/0000-0001-8675-4070)
- Jingyu Zhao (ORCID: https://orcid.org/0000-0002-5492-5901)
- Quan Zhou (ORCID: https://orcid.org/0000-0002-3819-3878)
- Gang Chen
- Yang Shi (ORCID: https://orcid.org/0000-0002-1373-6792)
- H. Gao (ORCID: https://orcid.org/0009-0006-5688-0870)
Institutions
- State Power Investment Corporation (China) (CN)
- State Nuclear Power Technology Company (China) (CN)
Publication Details
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1109/icepg63230.2024.10775587
- Primary Topic
- Technology and Security Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Research and Development