| Issue |
E3S Web Conf.
Volume 561, 2024
The 8th International Conference on Energy, Environment and Materials Science (EEMS 2024)
|
|
|---|---|---|
| Article Number | 02026 | |
| Number of page(s) | 5 | |
| Section | Intelligent Environment Planning and Green Development | |
| DOI | https://doi.org/10.1051/e3sconf/202456102026 | |
| Published online | 09 August 2024 | |
Research on the Application of ChatGPT-like Language Models in Hydropower Stations
State Grid Electric Power Research Institute, Nanjing 211106, China
* Corresponding author’s e-mail: zhujia2@sgepri.sgcc.com.cn
With the rapid development of artificial intelligence technology, the application of Natural Language Processing (NLP) across various industries has become a hot research topic. In particular, ChatGPTlike language models, with their capabilities in understanding and generating natural language, show great potential in information processing, automation control, and decision support systems. Hydropower stations, as important renewable energy power plants, play a crucial role in energy supply and environmental protection with their safe, economical, and efficient operations. This paper aims to explore the application of ChatGPTlike language models in hydropower stations, analyze potential application scenarios, and discuss challenges and solution strategies in implementation, in order to provide new technological paths for the future development of hydropower stations.
© The Authors, published by EDP Sciences, 2024
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