Computational Sustainability
Editors: Lässig, Jörg, Kersting, Kristian, Morik, Katharina (Eds.)
Free Preview- Current research in the emerging field of Computational Sustainability
- Focusing on novel concepts, models, algorithms, and systems
- Written by experts in the field
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- About this book
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The book at hand gives an overview of the state of the art research in Computational Sustainability as well as case studies of different application scenarios. This covers topics such as renewable energy supply, energy storage and e-mobility, efficiency in data centers and networks, sustainable food and water supply, sustainable health, industrial production and quality, etc. The book describes computational methods and possible application scenarios.
- Table of contents (12 chapters)
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Sustainable Development and Computing—An Introduction
Pages 1-12
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Wind Power Prediction with Machine Learning
Pages 13-29
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Statistical Learning for Short-Term Photovoltaic Power Predictions
Pages 31-45
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Renewable Energy Prediction for Improved Utilization and Efficiency in Datacenters and Backbone Networks
Pages 47-74
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A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction
Pages 75-97
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Table of contents (12 chapters)
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- Download Table of contents PDF (52.9 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Computational Sustainability
- Editors
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- Jörg Lässig
- Kristian Kersting
- Katharina Morik
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 645
- Copyright
- 2016
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-31858-5
- DOI
- 10.1007/978-3-319-31858-5
- Hardcover ISBN
- 978-3-319-31856-1
- Softcover ISBN
- 978-3-319-81138-3
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- VI, 276
- Number of Illustrations
- 23 b/w illustrations, 75 illustrations in colour
- Topics
