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An Interpretable Power System Transient Stability Assessment Method with Expert Guiding Neural-Regression-Tree
April 4, 2024, 4:42 a.m. | Hanxuan Wang, Na Lu, Zixuan Wang, Jiacheng Liu, Jun Liu
cs.LG updates on arXiv.org arxiv.org
Abstract: Deep learning based transient stability assessment (TSA) has achieved great success, yet the lack of interpretability hinders its industrial application. Although a great number of studies have tried to explore the interpretability of network solutions, many problems still remain unsolved: (1) the difference between the widely accepted power system knowledge and the generated interpretive rules is large, (2) the probability characteristics of the neural network have not been fully considered during generating the interpretive rules, …
abstract application arxiv assessment cs.lg cs.sy deep learning difference eess.sy expert explore industrial interpretability network power regression solutions stability studies success tree tsa type unsolved
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