A novel hybrid forecasting model with feature selection and deep learning for wind speed research
Xuejun Chen,
Ying Wang,
Haitao Zhang
et al.
Abstract:Accurate wind speed prediction is of great importance for the operation of wind farms, and extensive efforts have been made to develop effective forecasting methods in this regard. However, the feature selection of data input as well as optimization of deep learning models have received comparatively less attention, leading to unreliable forecasting results. This research proposes a novel hybrid model that integrates data preprocessing, feature selection, and optimized forecasting for improved wind speed predi… Show more
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