Short-term offshore wind power prediction method based on improved sparrow search algorithm

The invention discloses a short-term offshore wind power prediction method based on an improved sparrow search algorithm. The short-term offshore wind power prediction method comprises the following steps: acquiring and preprocessing offshore wind power data; constructing a convolution-long and short-term memory neural network combined prediction model; introducing a Circle mapping initialization population into the sparrow search algorithm, improving a discoverer position updating method, and adding a population crossover strategy to obtain an improved sparrow search algorithm; optimizing a convolution-long and short-term memory neural network combined prediction model based on the improved sparrow search algorithm; and inputting the preprocessed offshore wind power data into the optimized convolution-long and short-term memory neural network combined prediction model, and performing power prediction. According to the method, the hyper-parameters of the convolution-long and short-term memory neural network c