Buch, Englisch, 187 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 487 g
Reihe: Green Energy and Technology
Buch, Englisch, 187 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 487 g
Reihe: Green Energy and Technology
ISBN: 978-981-968085-6
Verlag: Springer
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.




