Artificial Intelligence of Things for Wind Energy Systems covers the novel concept of Artificial Intelligence (AI) combined with Internet of Things (IoT), for efficient data acquisition, analytics, and automated control, in wind energy systems. The book begins by introducing Artificial Intelligence of Things (AIoT), technologies, challenges, and future directions. Subsequent chapters provide in-depth coverage of specific technical areas and their applications in wind forecasting, generation, energy management, anomaly detection, digital twins, inspection of generators, recommendation systems, security concerns, and microgrid monitoring and control. Throughout the book, the information presented is supported by visuals, case studies, simulations, and code. A Volume in the Elsevier Wind Energy Engineering Series, this is a valuable resource for researchers, graduate students, engineers, operators, and other industry personnel with an interest in the use of AI and IoT in wind energy production and integration.

1. AIoT for Wind Energy Systems: Technologies, Challenges and Future Directions
2. Deep Learning and IoT for Effective Forecasting of Wind
3. Novel Control Techniques for Reliable Wind Energy Generation Incorporating AI and IoT
4. Energy Management in Wind Farms Using IoT, Big Data and AI
5. Big Data, IoT and AI for Anomaly Detection in Wind Turbine Generators
6. Digital Twins for Wind Energy Systems Using IoT and AI
7. Internet of Drones and Deep Learning for Inspection of Wind Turbine Generators
8. AI and IoT based Recommendation Systems for Wind Energy Generation
9. Security Concerns in AIoT systems for Wind Energy Farms
10. Wind Energy Microgrid Monitoring and Control using AIoT