Short-Term Wind-Speed Forecasting Based on Multiscale Mathematical Morphological Decomposition, K-Means Clustering, and Stacked Denoising Autoencoders-Reference-Cited by-同舟云学术

Short-Term Wind-Speed Forecasting Based on Multiscale Mathematical Morphological Decomposition, K-Means Clustering, and Stacked Denoising Autoencoders

Published:2020 Issue: Volume:8 Page:146901-146914
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Dong Weichao^ORCID,Sun Hexu^ORCID,Li Zheng^ORCID,Zhang Jingxuan^ORCID,Yang Huifang^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Talent Engineering Training Support Project of Hebei Province

National Engineering Laboratory of Energy-Saving Motor and Control Technique, Anhui University

Key Project of Scientific and Technological Research in Universities of Hebei Province

Hebei Education Department Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09163090.pdf?arnumber=9163090

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