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Xiong, Qingliang, Liu, Mingping, Li, Yuqin, Zheng, Chaodan, Deng, Suhui (2023) Short-Term Load Forecasting Based on VMD and Deep TCN-Based Hybrid Model with Self-Attention Mechanism. Applied Sciences, 13 (22) 12479 doi:10.3390/app132212479

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Reference TypeJournal (article/letter/editorial)
TitleShort-Term Load Forecasting Based on VMD and Deep TCN-Based Hybrid Model with Self-Attention Mechanism
JournalApplied Sciences
AuthorsXiong, QingliangAuthor
Liu, MingpingAuthor
Li, YuqinAuthor
Zheng, ChaodanAuthor
Deng, SuhuiAuthor
Year2023 (November 18)Volume13
Issue22
PublisherMDPI AG
DOIdoi:10.3390/app132212479Search in ResearchGate
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Mindat Ref. ID16946372Long-form Identifiermindat:1:5:16946372:6
GUID0
Full ReferenceXiong, Qingliang, Liu, Mingping, Li, Yuqin, Zheng, Chaodan, Deng, Suhui (2023) Short-Term Load Forecasting Based on VMD and Deep TCN-Based Hybrid Model with Self-Attention Mechanism. Applied Sciences, 13 (22) 12479 doi:10.3390/app132212479
Plain TextXiong, Qingliang, Liu, Mingping, Li, Yuqin, Zheng, Chaodan, Deng, Suhui (2023) Short-Term Load Forecasting Based on VMD and Deep TCN-Based Hybrid Model with Self-Attention Mechanism. Applied Sciences, 13 (22) 12479 doi:10.3390/app132212479
In(2023, November) Applied Sciences Vol. 13 (22) MDPI AG

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