WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network
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This paper introduces a novel deep neural network (WSFNet) to efficiently forecast multi-step ahead wind speed. WSFNet forms the basis of the stacked convolutional neural network (CNN) with dense connections of different blocks equipped with the channel a
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