AI and Wind Power 1 : A Multifaceted Approach to Sustainable Energy

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

AI and Wind Power 1 : A Multifaceted Approach to Sustainable Energy

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

Overall Rating: 2.4 / 5 (average from multiple review sources, as of 8 Jun 2026)
Based on a total of 46,634 customer reviews from independent review platforms.

Sources & Transparency:
The values are derived from publicly available retailer ratings from platforms such as Feefo, http://Reviews.io , Trustpilot, and others, and are aggregated monthly.

All brand names and logos are the property of their respective owners.

Notice:
pricehunter.co.uk cannot guarantee that published shop ratings originate from consumers who have actually made a purchase from the reviewed retailer.
This title will be released on September 15, 2026. Pre-order now. Express Delivery available with Amazon Prime.
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  • The price range for the product AI and Wind Power 1 : A Multifaceted Approach to Sustainable Energy is €£129.20to €£136.00 with a total of 2 offers.
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AI and Wind Power 1 : A Multifaceted Approach to Sustainable Energy

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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
£129.20
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