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Computational sustainability

Lassig, Jorg.

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Computational sustainability

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational sustainability/ edited by Jorg Lassig, Kristian Kersting, Katharina Morik.
other author:	Lassig, Jorg.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	vi, 276 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Computational intelligence. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-31858-5
ISBN:	9783319318585

Computational sustainability
Computational sustainability[electronic resource] /edited by Jorg Lassig, Kristian Kersting, Katharina Morik. - Cham :Springer International Publishing :2016. - vi, 276 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.6451860-949X ;. - Studies in computational intelligence ;v.379..

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.

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.

ISBN: 9783319318585

Standard No.: 10.1007/978-3-319-31858-5doiSubjects--Topical Terms:

595739
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Computational sustainability
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245 0 0 $a Computational sustainability $h [electronic resource] / $c edited by Jorg Lassig, Kristian Kersting, Katharina Morik.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a vi, 276 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.645
505 0 $a 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.
520 $a 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.
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650 2 4 $a Energy Efficiency (incl. Buildings) $3 1530404
650 2 4 $a Software Engineering. $3 890874
650 2 4 $a Innovation/Technology Management. $3 1565353
700 1 $a Lassig, Jorg. $3 2191541
700 1 $a Kersting, Kristian. $3 813262
700 1 $a Morik, Katharina. $3 893041
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