Research on Power Degradation Trend Prediction of Wind Turbines Based on Multiple Dimension Gru Framework

As one of the main forms of renewable energy generation, the long-term stable operation of wind turbines is crucial for the reliability and economy of the power grid. This article is based on the GRU algorithm combined with global meteorological fields and geographic coordinate fields to form a three-dimensional prediction field, and carries out research on the prediction of the declining trend of wind turbine generation capacity in three-dimensional fields. By analyzing and modeling historical operating data, potential performance decline trends are identified, early warning is provided, and maintenance guidance is provided. The experimental results show that this method can effectively predict the trend of changes in power generation capacity, with high accuracy and practicality.