The Resource Computational sustainability, Jörg Lässig, Kristian Kersting, Katharina Morik, editors

Computational sustainability, Jörg Lässig, Kristian Kersting, Katharina Morik, editors

Label
Computational sustainability
Title
Computational sustainability
Statement of responsibility
Jörg Lässig, Kristian Kersting, Katharina Morik, editors
Contributor
Editor
Subject
Genre
Language
eng
Summary
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
Member of
Cataloging source
GW5XE
Dewey number
006.3
Illustrations
illustrations
Index
no index present
LC call number
Q342
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Lässig, Jörg
  • Kersting, Kristian
  • Morik, Katharina
Series statement
Studies in computational intelligence,
Series volume
volume 645
http://library.link/vocab/subjectName
  • Computational intelligence
  • Sustainable engineering
  • Computational intelligence
  • Sustainable engineering
  • Computers
  • Technology & Engineering
  • Computers
  • Business & Economics
  • Information retrieval
  • Energy technology & engineering
  • Software Engineering
  • Research & development management
  • Computers
  • Artificial intelligence
Label
Computational sustainability, Jörg Lässig, Kristian Kersting, Katharina Morik, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-31858-5
Instantiates
Publication
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Sustainable Development and Computing -- an Introduction -- Wind Power Prediction with Machine Learning -- Statistical Learning for Short-Term Photovoltaic Power Predictions -- Renewable Energy Prediction for Improved Utilization and Efficiency in Datacenters and Backbone Networks -- A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction -- Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants -- Global Monitoring of Inland Water Dynamics: State-of-the-art, Challenges, and Opportunities -- Installing Electric Vehicle Charging Stations City-Scale: How Many and Where? -- Computationally Efficient Design Optimization of Compact Microwave and Antenna Structures -- Sustainable Industrial Processes by Embedded Real-Time Quality Prediction -- Relational Learning for Sustainable Health -- ARM Cluster for Performant and Energy-efficient Storage
Dimensions
unknown
Extent
1 online resource (vi, 276 pages)
File format
unknown
Form of item
online
Isbn
9783319318585
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-3-319-31858-5
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)947836835
  • (OCoLC)ocn947836835
Label
Computational sustainability, Jörg Lässig, Kristian Kersting, Katharina Morik, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-31858-5
Publication
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Sustainable Development and Computing -- an Introduction -- Wind Power Prediction with Machine Learning -- Statistical Learning for Short-Term Photovoltaic Power Predictions -- Renewable Energy Prediction for Improved Utilization and Efficiency in Datacenters and Backbone Networks -- A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction -- Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants -- Global Monitoring of Inland Water Dynamics: State-of-the-art, Challenges, and Opportunities -- Installing Electric Vehicle Charging Stations City-Scale: How Many and Where? -- Computationally Efficient Design Optimization of Compact Microwave and Antenna Structures -- Sustainable Industrial Processes by Embedded Real-Time Quality Prediction -- Relational Learning for Sustainable Health -- ARM Cluster for Performant and Energy-efficient Storage
Dimensions
unknown
Extent
1 online resource (vi, 276 pages)
File format
unknown
Form of item
online
Isbn
9783319318585
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-3-319-31858-5
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)947836835
  • (OCoLC)ocn947836835

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