Hourly day ahead wind speed forecasting based on a hybrid model of EEMD, CNN-Bi-LSTM embedded with GA optimization

Hourly day ahead wind speed forecasting based on a hybrid model of EEMD, CNN-Bi-LSTM embedded with GA optimization

In this paper, a novel hybrid model of decomposition and deep learning embedded with GA optimization was proposed to forecast 24-hour ahead wind speed. The historical wind speed time series was pre-processed and then decomposed into intrinsic mode functions (IMFs) using Ensemble Empirical Mode Decom...

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Bibliographic Details
Main Authors:	Thi Hoai Thu Nguyen, Quoc Bao Phan
Format:	Article
Language:	English
Published:	Elsevier 2022-11-01
Series:	Energy Reports
Subjects:	Wind speed forecast Hybrid model Decomposition CNN-Bi-LSTM GA optimization
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352484722009581

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