Short-Term Wind-Speed Forecasting Based on Multiscale Mathematical Morphological Decomposition, K-Means Clustering, and Stacked Denoising Autoencoders
- DOI
- 10.1109/access.2020.3015336
- Published
- 2020
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2020.3015336,
title = {Short-Term Wind-Speed Forecasting Based on Multiscale Mathematical Morphological Decomposition, K-Means Clustering, and Stacked Denoising Autoencoders},
author = {Weichao Dong and Hexu Sun and Zheng Li and Jingxuan Zhang and Huifang Yang},
year = {2020},
journal = {IEEE Access},
doi = {10.1109/access.2020.3015336},
url = {https://doi.org/10.1109/access.2020.3015336}
}RIS
TY - JOUR TI - Short-Term Wind-Speed Forecasting Based on Multiscale Mathematical Morphological Decomposition, K-Means Clustering, and Stacked Denoising Autoencoders AU - Weichao Dong AU - Hexu Sun AU - Zheng Li AU - Jingxuan Zhang AU - Huifang Yang PY - 2020 JO - IEEE Access DO - 10.1109/access.2020.3015336 UR - https://doi.org/10.1109/access.2020.3015336 ER -
APA
Dong, W., Sun, H., Li, Z., Zhang, J., & Yang, H. (2020). Short-Term Wind-Speed Forecasting Based on Multiscale Mathematical Morphological Decomposition, K-Means Clustering, and Stacked Denoising Autoencoders. IEEE Access. https://doi.org/10.1109/access.2020.3015336
Source records
- crossref · retrieved 2026-09-26T06:44:40.609Z