Computational Sustainability
Editat de Jörg Lässig, Kristian Kersting, Katharina Moriken Limba Engleză Hardback – 29 apr 2016
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Specificații
ISBN-13: 9783319318561
ISBN-10: 331931856X
Pagini: 284
Ilustrații: VI, 276 p. 98 illus., 75 illus. in color.
Dimensiuni: 160 x 241 x 21 mm
Greutate: 0.59 kg
Ediția:1st edition 2016
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 331931856X
Pagini: 284
Ilustrații: VI, 276 p. 98 illus., 75 illus. in color.
Dimensiuni: 160 x 241 x 21 mm
Greutate: 0.59 kg
Ediția:1st edition 2016
Editura: Springer
Locul publicării:Cham, Switzerland
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Cuprins
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.
Textul de pe ultima copertă
The book athand gives an overview of the state of the art research in ComputationalSustainability as well as case studies of different application scenarios. Thiscovers topics such as renewable energy supply, energy storage and e-mobility, efficiencyin data centers and networks, sustainable food and water supply, sustainablehealth, industrial production and quality, etc. The book describescomputational methods and possible application scenarios.
Caracteristici
Current research in the emerging field of Computational Sustainability Focusing on novel concepts, models, algorithms, and systems Written by experts in the field Includes supplementary material: sn.pub/extras