Edited by
Abhishek Kumar, Chandigarh University, India.
Ananth Kumar T., IFET College of Engineering (Autonomous Institution), Tamil Nadu - India.
Ashutosh Kumar Dubey, Chitkara University, India.
Arun Lal Srivastav, Chitkara University, Himachal Pradesh - India.
J. Reyes Juárez-Ramírez, Universidad Autónoma de Baja California, Mexico.
ISBN : 9781836690610
Publication Date : July 2026
Hardcover 354 pp
170 USD
Co-publisher
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.
1. Harnessing the Power of the Wind: A Detailed Exploration of Wind Energy Fundamentals and the Pivotal Role of Emerging AI Techniques, R. Venkatesh and D. Vetrithangam.
2. A Terrain-Fused Spatio-Temporal Deep Learning Framework for Accurate Wind Resource Assessment and Forecasting Using TFS-TWF, Suresh Kumar K., Kirubha Sagar T., Arun Prakash P. and Praveen Kumar M.
3. Deep Fuzzy-Optimized CLSTM–BERT Algorithm with Adaptive Learning for Efficient Wind Farm Design and Energy Management, Prabbu Sankar P., Yaashuwanth C., Prathibanandhi K. and S. Ramesh.
4. Optimizing Wind Energy with AI, Harshvardhan Kunwar, Shruti Roy, Ahanya Banerji and Sayantika Mukherjee.
5. Integration of Artificial Intelligence and Wind Power: An Orientation Technique, Johncy Bai J., T.S. Sivarani, S. Jaisiva, Srividhya J.P. and Gayathri A.R.
6. Predictive Maintenance and Fault Diagnosis of Wind Turbines Using AI, Karthick Manoj R. and Aasha Nandhini S.
7. A Comprehensive Review of Digital Twin-Enabled AI Models for Interpretable and Scalable Fault Diagnosis in Wind Turbines, N.C. Desai and Priyanka P. Shinde.
8. A Hybrid AI-Driven Digital Twin Technology for Predictive Maintenance and Fault Diagnosis in Wind Turbines under Variable Environmental Conditions using EcoHyTwin Framework, Mahesh Kumar S., Suresh Kumar K., Arun Prakash P. and Karthick Raja M.
9. An AI-Driven Framework for Predictive Maintenance and Adaptive Control in Hybrid Wind Farms Using BreezeSenseAI Algorithm, Suresh Kumar K., Karthikesh N., Anandaraj A. and Yuvaraj S.
10. AI-Powered Predictive Maintenance for Wind Energy, Anurag Wazarkar, Pratik Gunjalkar, Tanmay Sawant, Sanket Babar, Bhushan S. Yelure and Priyanka P. Shinde.
11. Integrating AI and IoT Technologies in Smart Wind Farms: Leveraging Predictive Maintenance and Performance Optimization, Sathish Kumar D., Vanitha U., Saravanan G. and Ramya G.
12. AI and IoT for Smart Wind Farms, Mantena Sireesha and Mantena Siva Pavan Kumar Raju.
13. Intelligent Wind Power Forecasting and Demand-Responsive Power Scheduling Using LSTMs, Pranav Raja K.R., Ritik and Karthika S.K.
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.
