Tube loss based LSTM, GRU, and TCN models produce narrower, well-calibrated wind speed prediction intervals than six baseline methods on three datasets.
A multi- state model for exploiting the reserve capability of wind power
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Tube Loss based Deep Networks For Improving the Probabilistic Forecasting of Wind Speed
Tube loss based LSTM, GRU, and TCN models produce narrower, well-calibrated wind speed prediction intervals than six baseline methods on three datasets.