Research on short-term electric load forecasting based on DCT-CNN-GRU

The short-term electric load forecasting is featured with nonlinearity, periodicity and rapid changes. Therefore, it requires a powerful model to effectively extract information from it. In order to enhance the accuracy of short-term electric load forecasting and extract information from it, this pa...

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Détails bibliographiques

Auteurs principaux:	LIU Wei, CAI Dongsheng, FENG Fuyong, HAN Hao, HUANG Qi
Format:	Artigo
Langue:	Chinês
Publié:	Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd. 2026-02-01
Collection:	Diance yu yibiao
Sujets:	short-term electric load forecasting dct transform convolutional neural network gated recurrent unit time-frequency combination
Accès en ligne:	http://www.emijournal.net/dcyyb/ch/reader/create_pdf.aspx?file_no=20231219004&flag=1&journal_id=dcyyb&year_id=2026
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