Research on Tide Forecast of Offshore Wind Farms based on Random Forests

Offshore wind power is the fastest growing clean energy in the world. Since the harsh operating environment, the operation and maintenance costs are high, therefore, the digital intelligent solutions are very necessary. This article proposed a tide forecast method based on random forests. The random forests model was trained using the tide level data from a tide gauge station for 3 years, and the actual monitoring data was verified by experimental simulation. The results proved that the proposed method can effectively forecast the non-astronomical tide, which was better than harmonic analysis method. The proposed method can provide a more reliable tidal information for the operation and maintenance task planning in offshore wind farms, so as to reduce the unnecessary number of operation and maintenance plans, and reduce the cost.