Start Jan 2020

End Oct 2022

Wind Forecasting PROJECT - Improve the short-term forecast for wind power using multi-source data

Research on the short-term wind power forecasting with ensemble learning methods based on the multi-source heterogeneous data.

Analysis of the Multi-source Heterogeneous Data for Wind Power Forecasting and Abnormal Data Processing Methods.

Study on Data Fusion Technology and Short-term Wind Power Forecasting Method Based on the Multi-source Heterogeneous Data.

Exploration on the Ensemble Learning Method for Improving the Accuracy and Robustness of the Short-term Wind Power Forecasting.

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