Power Load Prediction Method Based on CEEMDAN and Spectral Time Graph Convolutional Networks

The traditional forecasting model cannot accurately determine the spatial correlation and temporal dependence of time-series load data, resulting in low forecasting accuracy. To address this issue and the non-stationarity of power load data, a time-series power load forecasting method based on Compl...

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Autor principal:	ZHU Li, XIA Yu, ZHU Chunqiang, DENG Fan
Format:	Artigo
Idioma:	Inglês
Publicat:	Editorial Office of Computer Engineering 2025-04-01
Col·lecció:	Jisuanji gongcheng
Matèries:	power load prediction|empirical mode decomposition(emd)|intrinsic mode function(imf)|graph convolutional network(gcn)|fuzzy entropy
Accés en línia:	https://www.ecice06.com/fileup/1000-3428/PDF/20250433.pdf
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