Offshore short-term wind speed prediction method based on random factor improved CSA

The invention relates to an offshore short-term wind speed prediction method based on a random factor improved CSA, and the method comprises the following steps: obtaining a data set, preprocessing the data set, and dividing the preprocessed data set to obtain a training set and a test set; constructing an ANN model, taking the preprocessed training set as the input of the ANN model, taking the wind speed as the output of the ANN model, and establishing the ANN model; introducing a random factor [R] to improve CSA to obtain RCSA, adopting the RCSA to train an ANN model, optimizing weights and bias parameters in the ANN model, and establishing an RCSA-ANN short-term wind speed prediction model. The offshore short-term wind speed prediction method based on the random factor improved CSA is high in prediction precision, can accurately predict a fluctuating wind speed sequence, and has good application potential. 本发明涉及一种基于随机因子改进CSA的海上短期风速预测方法，包括以下步骤：获取数据集，对数据集进行预处理，对预处理后的数据集进行划分得到训练集和测试集；构建ANN模型，用预处理后的训练集作为ANN模型的