Prediction of ultra-short-term wind power based on CEEMDAN-LSTM-TCN

Prediction of ultra-short-term wind power based on CEEMDAN-LSTM-TCN

So as to decrease those cacoethic impact of a huge amount of wind energy generation systems associated with the electric power system and improve the utilization rate and the budgetary profits of wind power era, this paper raises a neural network in view of CEEMDAN-LSTM-TCN. Firstly, CEEMDAN is used...

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Bibliographic Details
Main Authors: Chenjia Hu, Yan Zhao, He Jiang, Mingkun Jiang, Fucai You, Qian Liu
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Wind power generation system
Wind power
Renewable energy
Ultra short-term wind power forecast
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722018959

Internet

http://www.sciencedirect.com/science/article/pii/S2352484722018959

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