Wind power plant short-term wind speed prediction method and system and electronic equipment
A wind speed forecasting and wind farm technology, applied in the field of machine learning, can solve problems such as limited forecasting accuracy, model being covered up, and affecting forecasting ability, so as to reduce volatility and randomness, improve forecasting accuracy, and improve generalization Effect
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[0077] The present invention proposes a short-term wind speed prediction method for wind farms based on VMD-ARIMA-XGBoost. The specific embodiments of the present invention will be further described below with reference to the accompanying drawings. Select the wind speed detection data of a wind farm from January 1, 2016 to June 30, 2016, the original data time resolution is 10 minutes, of which 25,200 wind speed data from January 1 to June 23 are used as training samples. The 1,008 measured data from June 24 to June 30 are used as test samples. figure 1 It is a flowchart of a short-term wind speed prediction method for wind farms based on the VMD-ARIMA-XGBoost weighted combination model, which specifically includes the following steps:
[0078] Step 1: Perform cleaning and autocorrelation analysis on the historical wind speed data of the wind farm. The data cleaning uses linear interpolation to remove abnormal data (abnormal data includes missing data (null values), data exceedi...
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