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商品詳細
Artificial Intelligence and Machine Learning in Heat Transfer Optimization for Sustainable Energy Systems.
・ISBN 978-1-041-08969-8 hard GB£ 145.99
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| 著者・編者 | Heeraman, Jatoth / Barmavatu, Praveen (eds.), |
|---|---|
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2026 |
| ページ数 | 372 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-2708＞ |
解説
Artificial Intelligence and Machine Learning in Heat Transfer Optimization for Sustainable Energy Systems examines how to use AI/ML-driven methodologies to enhance heat transfer processes in energy systems, such as industrial heat recovery, HVAC systems, and renewable energy generation, with a focus on sustainability.
Exploring applications in sustainable energy systems, renewable resources, and smart grids, the book presents intelligent control methodologies, predictive modeling, real-time data analysis, and thermal management with deep learning. It covers AI-driven heat transfer monitoring, which is critical for a variety of applications beyond sustainability, including industrial production, aerospace, automotive, and electronics cooling. The chapters feature numerous case studies of AI/ML implementation in heat exchangers, power plants, and renewable energy systems.
This book will interest researchers and graduate students studying the intersection of AI, ML, and heat transfer optimization as applied to energy systems.