Short-term wind power forecasting using the hybrid model of multivariate variational mode decomposition (MVMD) and long short-term memory (LSTM) neural networks

A novel hybrid forecasting procedure for wind power using meteorological and historical data and the multivariate variational mode decomposition (MVMD) algorithm is exploited to simultaneously decompose selected features to address frequency mismatches between different series and capture the correlation among them.