Arctic short-term wind speed forecasting based on CNN-LSTM model with CEEMDAN
Shandong Marine Resource and Environment Research Institute · National Marine Data and Information Service
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Abstract
No abstract available for this paper.
Citation impact
114
total citations
- FWCI
- 21.79
- Percentile
- 100%
- References
- 76
Citations per year
Authors
5- QLQingyang LiCorresponding
Shandong Marine Resource and Environment Research Institute, National Marine Data and Information Service
- GWGuosong Wang
Shandong Marine Resource and Environment Research Institute, National Marine Data and Information Service
- XWXinrong Wu
Shandong Marine Resource and Environment Research Institute, National Marine Data and Information Service
- ZGZhigang Gao
Shandong Marine Resource and Environment Research Institute, National Marine Data and Information Service
- BDBo Dan
Shandong Marine Resource and Environment Research Institute, National Marine Data and Information Service
Topics & keywords
Topics
Keywords
- Wind speed
- Convolutional neural network
- Computer science
- Benchmark (surveying)
- Noise (video)
- Mode (computer interface)
- Wind power
- Hilbert–Huang transform
UN Sustainable Development Goals
- Affordable and clean energy
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