Short-term power prediction method of wind farm cluster based on deep spatiotemporal correlation mining

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Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering

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COA-CNN-LSTM: Coati optimization algorithm-based hybrid deep learning model for PV/wind power forecasting in smart grid applications

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Deep Concatenated Residual Network With Bidirectional LSTM for One-Hour-Ahead Wind Power Forecasting

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An improved neural network-based approach for short-term wind speed and power forecast

G. W. Chang, H. J. Lu, Y.-R. Chang et al. · Renewable Energy · 2016 · 236 citations

Natural Sciences, Meteorology, Forecasting +13