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Lecture Notes in Artificial Intelligence

Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy

5th ECML PKDD Workshop, DARE 2017, Skopje, Macedonia, September 22, 2017, Revised Selected Papers

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

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eBook $44.99
price for USA (gross)
  • ISBN 978-3-319-71643-5
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  • Included format: EPUB, PDF
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  • Immediate eBook download after purchase
Softcover $60.00
price for USA
  • ISBN 978-3-319-71642-8
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About this book

This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017.

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 (2 chapters)

  • Improving Time-Series Rule Matching Performance for Detecting Energy Consumption Patterns

    Guillemé, Maël (et al.)

    Pages 59-71

  • Scalable Gaussian Process Models for Solar Power Forecasting

    Dahl, Astrid (et al.)

    Pages 94-106

Buy this book

eBook $44.99
price for USA (gross)
  • ISBN 978-3-319-71643-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $60.00
price for USA
  • ISBN 978-3-319-71642-8
  • 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: Informing the Generation and Distribution of Renewable Energy
Book Subtitle
5th ECML PKDD Workshop, DARE 2017, Skopje, Macedonia, September 22, 2017, Revised Selected Papers
Editors
  • Wei Lee Woon
  • Zeyar Aung
  • Oliver Kramer
  • Stuart Madnick
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
10691
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-71643-5
DOI
10.1007/978-3-319-71643-5
Softcover ISBN
978-3-319-71642-8
Edition Number
1
Number of Pages
X, 133
Number of Illustrations and Tables
49 b/w illustrations
Topics