Wind Energy

Wind energy research focuses on improving the efficiency and reliability of wind power generation and integration into the electricity grid. Current efforts concentrate on enhancing wind speed and power forecasting accuracy using advanced machine learning techniques, such as deep learning models (e.g., CNN-LSTMs, reinforcement learning algorithms), and optimizing wind turbine operations through predictive maintenance and sensor placement strategies. These advancements are crucial for maximizing energy output, reducing operational costs, and mitigating the intermittency challenges inherent in wind power, thereby contributing significantly to the global transition towards renewable energy sources.