AI and Wind Power 1: A Multifaceted Approach to Sustainable Energy (ISTE Invoiced)

In the critical global transition to sustainable energy, the integration of artificial intelligence (AI) with wind power stands as a pivotal technological frontier.

AI and Wind Power 1 provides a comprehensive, practical guide to this transformative synergy. This volume delves deep into the core applications of AI, from leveraging deep learning for precise wind resource assessment and sophisticated farm design to deploying advanced algorithms for predictive maintenance and fault diagnosis. The book presents detailed examinations of cutting-edge frameworks, including digital twins, IoT-enabled smart farms and adaptive AI controllers, all aimed at maximizing energy yield, reducing operational costs and enhancing system reliability.

By combining rigorous technical analysis with real-world case studies, this book equips engineers, data scientists and energy professionals with the knowledge to implement intelligent solutions, which make wind energy more efficient, resilient and integral to a smarter grid. It is an indispensable resource for anyone dedicated to advancing the technical frontier of renewable energy.

Abhishek Kumar is a senior IEEE member, and an assistant director and professor in the Department of Computer Science and Engineering at Chandigarh University, India.

Ananth Kumar T. is a senior IEEE member, and an associate professor and Head of the Department of Computer Science and Engineering at the IFET College of Engineering (Autonomous Institution), Tamil Nadu, India.

Ashutosh Kumar Dubey is an associate professor in the Department of Computer Science at the School of Engineering and Technology, Chitkara University, India.

Arun Lal Srivastav is an associate professor at the School of Engineering and Technology, Chitkara University, Himachal Pradesh, India.

J. Reyes Juárez-Ramírez is a professor–researcher in the Facultad de Ciencias Quíquimicas e Ingeniería, Universidad Autónoma de Baja California, Mexico.