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A dialogue-driven framework for intelligent and automated simulation of complex power systems
This paper introduces a dialogue-driven framework for intelligent simulation of power systems, aiming to alleviate operator workload. It combines human and AI interaction to regulate power grids effectively. The prototype system enhances operator efficiency and usability, suggesting potential for broader applications in human-AI collaboration in engineering.
Ziyao He
,
Yunpeng Song
,
Gang Yang
,
Wen Qiao
,
Haoming Wang
,
Jinyun Wang
,
Na Lu
,
Youtian Du
,
Zhongmin Cai
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