One dimensional convolutional neural network architectures for wind prediction

This paper proposes two one-dimensional (1D) convolutional neural networks (CNNs) for predicting dominant wind speed and direction for the temporal wind dataset. The proposed 1D Single CNN (1DS) takes as input the consecutive temporal values in terms of the wind speed and direction and predicts in future dominating speed and direction, separately, after the last value in the input. The developed 1D Multiple CNN (1DM) combines several 1DS but...