NET 0 Part 2

NET 0 – Part 2: Artificial Intelligence in Wind Energy Systems explores the transformative role of Artificial Intelligence (AI) in advancing wind energy technologies. As the global energy transition accelerates toward carbon neutrality, the integration of AI with renewable energy systems has become essential for enhancing efficiency, reliability, and sustainability.

This volume focuses specifically on the application of AI across modern wind energy systems — from performance monitoring and predictive maintenance to offshore optimization, market forecasting, policy support, and ethical considerations. The book presents advanced AI-driven methodologies for turbine control, energy yield forecasting, grid integration, load management, and downtime prevention.

Through practical models, case studies, and real-world implementations, the authors demonstrate how machine learning, deep learning, and intelligent automation are reshaping wind farm operations. Special emphasis is given to:

• AI in real-time performance monitoring

• Predictive maintenance and anomaly detection

• Energy yield forecasting and market analytics

• Offshore wind optimization

• AI-based turbine control systems

• Economic benefits and ROI analysis

• Ethical and environmental implications of AI adoption

• Challenges and future prospects of AI integration

Designed for researchers, engineers, policymakers, industry professionals, and advanced students, this book bridges the gap between theoretical AI concepts and practical wind energy applications.

As part of the NET 0 series, this edition contributes to the global vision of achieving sustainable and intelligent renewable energy systems. By combining innovation with environmental responsibility, the book provides a roadmap for building smarter wind farms and accelerating the journey toward a carbon-neutral future.