Lecture Notes in Artificial Intelligence

Data Analytics for Renewable Energy Integration

4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016, Revised Selected Papers

Editors: Woon, W.L., Aung, Z., Kramer, O., Madnick, S. (Eds.)

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About this book

This book constitutes revised selected papers from the 4th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2016, held in Riva del Garda, Italy, in September 2016.
The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others.

Table of contents (11 chapters)

  • Locating Faults in Photovoltaic Systems Data

    Kogler, Alexander (et al.)

    Pages 1-9

  • Forecasting of Smart Meter Time Series Based on Neural Networks

    Zufferey, Thierry (et al.)

    Pages 10-21

  • Cybersecurity for Smart Cities: A Brief Review

    Alibasic, Armin (et al.)

    Pages 22-30

  • Machine Learning Prediction of Photovoltaic Energy from Satellite Sources

    Catalina, Alejandro (et al.)

    Pages 31-42

  • Approximate Probabilistic Power Flow

    Zuluaga, Carlos D. (et al.)

    Pages 43-53

Buy this book

eBook $44.99
price for Mexico (gross)
  • ISBN 978-3-319-50947-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for Mexico
  • ISBN 978-3-319-50946-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Data Analytics for Renewable Energy Integration
Book Subtitle
4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016, Revised Selected Papers
Editors
  • Wei Lee Woon
  • Zeyar Aung
  • Oliver Kramer
  • Stuard Madnick
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
10097
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-50947-1
DOI
10.1007/978-3-319-50947-1
Softcover ISBN
978-3-319-50946-4
Edition Number
1
Number of Pages
VII, 137
Number of Illustrations and Tables
58 b/w illustrations
Topics