Offshore wind power prediction method considering typhoon, cold wave and other meteorological features under transitory weather

Abstract

With the large-scale development of offshore wind farms, China's offshore wind power process is becoming more and more perfect. How to accurately forecast offshore wind power, especially under the influence of transitional weather, is a difficult problem to be solved. Therefore, in order to accurately forecast offshore wind power in the extreme small sample event, this paper proposes a method for predicting wind power before the turning weather based on meteorological element selection and small sample learning and expansion. The method improves the prediction accuracy of offshore wind power under typhoons and cold waves by constructing meteorological features in transitional weather such as typhoons and cold waves, expanding the small sample using time series, and modelling the relationship between the expanded meteorological factors and wind power.