TY - BOOK AU - Lässig,Jörg AU - Kersting,Kristian AU - Morik,Katharina ED - SpringerLink (Online service) TI - Computational Sustainability T2 - Studies in Computational Intelligence, SN - 9783319318585 AV - Q342 U1 - 006.3 23 PY - 2016/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Engineering KW - Energy efficiency KW - Management KW - Industrial management KW - Software engineering KW - Computational intelligence KW - Computational Intelligence KW - Information Systems Applications (incl. Internet) KW - Energy Efficiency (incl. Buildings) KW - Software Engineering KW - Innovation/Technology Management KW - Electronic books KW - local N1 - 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 N2 - 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 UR - http://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/978-3-319-31858-5 ER -