Application of Least Squares Support Vector Machine Based on Particle Swarm Optimization in Tidal Current Prediction of Offshore Microgrid

In order to reduce the impact of the uncertainty of tidal current and improve the application of tidal current energy in offshore microgrid, the tidal current predict is of importance. Through studying the characteristics of the tidal current time series of the offshore microgrid, a tidal current prediction model based on the least squares support vector machine is proposed, and the key parameters of the model are optimized by the particle swarm optimization algorithm. At last, case studies based on the actual data of an offshore microgrid are carried out to verify the accuracy of the proposed model.