Data Privacy and Cybersecurity in Wind Power Systems
Abstract
The growing digitalization of wind power systems has intensified cybersecurity and data privacy challenges across modern renewable energy infrastructures. As AI, digital twins, and cloud-based platforms become integral to turbine monitoring and control, wind farms face expanding attack surfaces and increased vulnerability to malware, sensor spoofing, DDoS attacks, and supply chain breaches. These risks threaten operational continuity, grid stability, and the confidentiality of sensitive operational and geospatial data. Ensuring secure and privacy-compliant wind operations requires multi-layered protection that includes Zero Trust architectures, secure industrial protocols, robust identity and access management, encrypted communication channels, and strong AI governance. A comprehensive understanding of emerging threat vectors and resilient defense mechanisms is essential for safeguarding AI-powered wind energy ecosystems against evolving cyber and privacy risks.
Fields of Study & Subjects
Smart Grid Security and Resilience
Wind Turbine Control Systems
Islanding Detection in Power Systems
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Publisher
- IGI Global Scientific Publishing
- Pages
- 335–366
- Publication date
- 25 February 2026
- Document type
- Book chapter