Computational Sustainability

Editors:

ISBN: 978-3-319-31856-1 (Print) 978-3-319-31858-5 (Online)

Table of contents (12 chapters)

  1. Front Matter

    Pages i-vi

  2. No Access

    Chapter

    Pages 1-12

    Sustainable Development and Computing—An Introduction

  3. No Access

    Chapter

    Pages 13-29

    Wind Power Prediction with Machine Learning

  4. No Access

    Chapter

    Pages 31-45

    Statistical Learning for Short-Term Photovoltaic Power Predictions

  5. No Access

    Chapter

    Pages 47-74

    Renewable Energy Prediction for Improved Utilization and Efficiency in Datacenters and Backbone Networks

  6. No Access

    Chapter

    Pages 75-97

    A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction

  7. No Access

    Chapter

    Pages 99-120

    Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants

  8. No Access

    Chapter

    Pages 121-147

    Global Monitoring of Inland Water Dynamics: State-of-the-Art, Challenges, and Opportunities

  9. No Access

    Chapter

    Pages 149-170

    Installing Electric Vehicle Charging Stations City-Scale: How Many and Where?

  10. No Access

    Chapter

    Pages 171-199

    Computationally Efficient Design Optimization of Compact Microwave and Antenna Structures

  11. No Access

    Chapter

    Pages 201-243

    Sustainable Industrial Processes by Embedded Real-Time Quality Prediction

  12. No Access

    Chapter

    Pages 245-264

    Relational Learning for Sustainable Health

  13. No Access

    Chapter

    Pages 265-276

    ARM Cluster for Performant and Energy-Efficient Storage