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Machine learning applications for bioenergy conversion

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning applications for bioenergy conversion/ by Nakorn Tippayawong, Thossaporn Onsree, James Moran.
Author:	Tippayawong, Nakorn.
other author:	Onsree, Thossaporn.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xxiv, 187 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Biomass energy. -
Online resource:	https://doi.org/10.1007/978-981-96-8086-3
ISBN:	9789819680863

Machine learning applications for bioenergy conversion
Tippayawong, Nakorn.

Machine learning applications for bioenergy conversion[electronic resource] /by Nakorn Tippayawong, Thossaporn Onsree, James Moran. - Singapore :Springer Nature Singapore :2025. - xxiv, 187 p. :ill. (chiefly col.), digital ;24 cm. - Green energy and technology,1865-3537. - Green energy and technology..

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.

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.

ISBN: 9789819680863

Standard No.: 10.1007/978-981-96-8086-3doiSubjects--Topical Terms:

683849
Biomass energy.

LC Class. No.: TP339

Dewey Class. No.: 662.88

Machine learning applications for bioenergy conversion
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100 1 $a Tippayawong, Nakorn. $3 3804616
245 1 0 $a Machine learning applications for bioenergy conversion $h [electronic resource] / $c by Nakorn Tippayawong, Thossaporn Onsree, James Moran.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xxiv, 187 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Green energy and technology, $x 1865-3537
505 0 $a 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.
520 $a 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.
650 0 $a Biomass energy. $3 683849
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650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Chemical Bioengineering. $3 3591613
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Onsree, Thossaporn. $3 3804617
700 1 $a Moran, James. $3 3445255
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