Wind Pressure

Wind pressure research focuses on understanding and predicting wind's effects on structures and energy systems. Current research employs diverse approaches, including deep learning models like GANs and LSTMs for high-resolution wind data generation and forecasting, reinforcement learning for optimizing energy harvesting and grid management in the face of wind's intermittency, and advanced sensor placement algorithms for efficient data acquisition. These advancements are crucial for improving the design of wind-resistant structures, enhancing the reliability of renewable energy integration, and optimizing the performance of wind-powered technologies.