Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features
Xi'an University of Architecture and Technology
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Abstract
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Citation impact
347
total citations
- FWCI
- 43.13
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- 100%
- References
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Authors
9- ZZZeni Zhao
Xi'an University of Architecture and Technology
- SYSining YunCorresponding
Xi'an University of Architecture and Technology
- LJLingyun Jia
Xi'an University of Architecture and Technology
- JGJiaxin Guo
Xi'an University of Architecture and Technology
- YMYao Meng
Xi'an University of Architecture and Technology
Topics & keywords
Topics
Keywords
- Computer science
- Wind power forecasting
- Wind power
- Convolutional neural network
- Deep learning
- Wind speed
- Term (time)
- Artificial intelligence
UN Sustainable Development Goals
- Affordable and clean energy
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