Machine Learning Applications for Bioenergy Conversion
Series: Green Energy and Technology;
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48 811 Ft (46 487 Ft + 5% VAT)
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48 811 Ft
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Product details:
- Publisher Springer Nature Singapore
- Date of Publication 5 January 2026
- Number of Volumes 1 pieces, Book
- ISBN 9789819680856
- Binding Hardback
- No. of pages188 pages
- Size 235x155 mm
- Language English
- Illustrations XXIV, 188 p. 41 illus., 39 illus. in color. Illustrations, black & white 700
Categories
Long description:
This book explores the integration of machine learning algorithms with bioenergy conversion processes, providing an innovative approach to tackling the challenges of sustainable energy production. The authors have written dozens of peer reviewed papers on this topic over the past 8 years and this book is a culmination of their efforts. It delves into various machine learning techniques tailored to optimize and enhance the efficiency of bioenergy processes, making it a critical resource for researchers, engineers, and students in the fields of renewable energy and machine learning.
MoreTable of Contents:
"
1. Introduction.- 2. Machine Learning Algorithms for Bioenergy.- 3. Pre-treatment with Ionic Liquids.- 4. Torrefaction.- 5. Co-Pyrolysis.- 6. Biodiesel Production.- 7. Anaerobic Digestion.- 8. Hydrothermal carbonization.- 9. Hydrothermal Liquids.
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