Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM

Variational Mode Decomposition

Konstantin Dragomiretskiy, Dominique Zosso · IEEE Transactions on Signal Processing · 2014 · 8.6K citations

Engineering, Electrical Engineering, Biomedical Signal Processing +15

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Xingjian Shi, Zhourong Chen, Hao Wang et al. · arXiv (Cornell University) · 2015 · 6.6K citations · Full text

Computing, Computer Science, Meteorology +16

Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

Xiaolei Ma, Zhimin Tao, Yinhai Wang et al. · Transportation Research Part C Emerging Technologies · 2015 · 2.1K citations

Computing, Computer Science, Electrical Engineering +16

Deep learning based ensemble approach for probabilistic wind power forecasting

Huaizhi Wang, Gangqiang Li, Guibin Wang et al. · Applied Energy · 2016 · 741 citations

Computing, Computational Engineering, Meteorology +16

Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

Shouxiang Wang, Na Zhang, Lei Wu et al. · Renewable Energy · 2016 · 674 citations

Natural Sciences, Earth Sciences, Meteorology +14