Wind Farm

Wind farms, crucial for renewable energy generation, are the focus of intense research aimed at optimizing their efficiency and reliability. Current research emphasizes improving wind speed prediction using advanced machine learning models like Temporal Convolutional Networks (TCNs) and Graph Transformers, alongside techniques for noise reduction and data augmentation to enhance model accuracy. These advancements are vital for optimizing wind turbine placement and operation, improving power output forecasting for grid stability, and enabling proactive maintenance strategies to minimize downtime and maximize energy production. Ultimately, these efforts contribute to the wider goal of integrating renewable energy sources into the power grid more effectively.