AI and Wind Power 1 A Multifaceted Approach to Sustainable Energy (ISTE Invoiced) | 6.79 MB
Title: AI and Wind Power 1
Author: Abhishek Kumar, Ananth Kumar T, Ashutosh Kumar Dubey, Arun Lal Srivastav, J. Reyes Reyes Juárez-Ramírez
Category: Nonfiction, Science & Nature, Technology, Power Resources, Computers, Advanced Computing, Artificial Intelligence
Language: English | 368 Pages | ISBN: 9781394464234
Description:
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.
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.
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