Port load forecasting method based on simulated annealing-extreme learning machine

To cope with the increasingly complex port power system scheduling problems, accurate port load forecasting is required. In this paper, a new port load forecasting method is proposed on the basis of the previous work by adopting the limit learning machine method based on the optimisation of simulated annealing algorithm. Compared with the ordinary limit learning machine method and time series prediction method, this method is faster and more accurate, and more suitable for engineering applications.