AWESOME H2020

At the forefront of our research is the development of optimized operations and maintenance (O&M) planning strategies for wind energy systems. Through advanced analytics and predictive modeling, we aim to maximize turbine uptime, minimize downtime, and optimize resource allocation, ultimately enhancing the overall performance and profitability of wind farms... Our research endeavors focus on the development and implementation of prognostic maintenance models for wind turbines. By leveraging real-time data, machine learning algorithms, and condition monitoring techniques, we strive to predict potential failures before they occur, enabling proactive maintenance interventions and minimizing costly downtime... We are dedicated to identifying and implementing cost-effective O&M strategies that drive efficiency and sustainability in wind energy operations. From condition-based maintenance approaches to innovative supply chain management solutions, our research aims to reduce O&M costs..