Against the backdrop of the accelerated construction of new electricity systems and the continuous increase in the proportion of power electronicization, urban power grid harmonics exhibit characteristics such as multi-source, time-varying, and wide-area propagation. A large amount of semi-structured and unstructured data (ledgers, governance records, waveforms, images, etc.) has been accumulated during operation and maintenance. However, existing power knowledge graphs primarily rely on single-
Intelligent harmonic diagnosis and tracing method for urban power grids via cross-modal fusion of time-frequency features and unstructured equipment records
Zhanqiang Xu
