Nov 21, 2023 · Accurate short-term wind power prediction is of great significance to the real-time dispatching of power systems and the development of wind ...

Nov 29, 2023 · In a case study, compared with other benchmark methods, the proposed method shows excellent overall performance in predicting wind power. INDEX ...

Short-Term Wind Power Prediction Based on Feature-Weighted and Combined Models · A short-term wind speed prediction method based on the IDBO-BPNN · 3DTCN-CBAM- ...

Research article. Short-term wind farm cluster power point-interval prediction based on graph spatio-temporal features and S-Stacking combined reconstruction.

To improve the power prediction accuracy of wind farm clusters, a new method based on spatiotemporal correlations is proposed herein. First, three correlation ...

Aug 29, 2024 · Dynamic spatio-temporal correlation and hierarchical directed graph structure based ultra-short-term wind farm cluster power forecasting method ...

A short-term wind power prediction method based on the combination of meteorological features and CatBoost is presented.

A short-term power prediction method for wind farm cluster based on the fusion of multi-source spatiotemporal feature information. Author & abstract; Download ...

Mar 15, 2023 · Then the spatiotemporal features of the data of wind power are obtained using a spatiotemporal attention network to train the prediction model ...

Wang [37] proposed a prediction method that uses ultrashort-term clusters to predict wind power with dynamic spatial-temporal correlation and variable causality ...