Multistep short-term wind speed prediction using nonlinear auto-regressive neural network with exogenous variable selection

Electric power transmission networks; Forecasting; Mean square error; Neural networks; Predictive analytics; Speed; Transfer learning; Wind; Wind power; Exogenous variables; Multi-step prediction; Neural networks (NNS); Root mean square errors; Short-term wind speed predictions; Transfer learning me...

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Bibliographic Details
Main Authors: Noman F., Alkawsi G., Alkahtani A.A., Al-Shetwi A.Q., Kiong Tiong S., Alalwan N., Ekanayake J., Alzahrani A.I.
Other Authors: 55327881300
Format: Article
Published: Elsevier B.V. 2023
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Summary:Electric power transmission networks; Forecasting; Mean square error; Neural networks; Predictive analytics; Speed; Transfer learning; Wind; Wind power; Exogenous variables; Multi-step prediction; Neural networks (NNS); Root mean square errors; Short-term wind speed predictions; Transfer learning methods; Variable selection methods; Wind speed prediction; Learning systems