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Data Analytics for Renewable Energy Integration

Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers

  • Wei Lee Woon
  • Zeyar Aung
  • Stuart Madnick
Conference proceedings DARE 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8817)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8817)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Bijay Neupane, Torben Bach Pedersen, Bo Thiesson
    Pages 1-16
  3. Emmanouil Valsomatzis, Katja Hose, Torben Bach Pedersen
    Pages 17-37
  4. Ángela Fernández, Yvonne Gala, José R. Dorronsoro
    Pages 38-53
  5. Mijeong Park, Miyoung Kang, Jin-Young Choi
    Pages 54-60
  6. Yang Weng, Christos Faloutos, Marija Ilic
    Pages 67-80
  7. Oliver Kramer, Fabian Gieseke, Justin Heinermann, Jendrik Poloczek, Nils André Treiber
    Pages 97-107
  8. Robert Ulbricht, Martin Hahmann, Hilko Donker, Wolfgang Lehner
    Pages 108-121
  9. Bikash Joshi, Baluyan Hayk, Amer Al-Hinai, Wei Lee Woon
    Pages 137-149
  10. Back Matter
    Pages 151-151

About these proceedings

Introduction

This book constitutes revised selected papers from the second ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2014, held in Nancy, France, in September 2014. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book.

Keywords

Artificial Intelligence Data Analytics Data Mining Electrical Engineering Energy Distribution Fault Detection Machine Learning Power and Energy Renewable Energy Smart Grid Solar Energy Statistical Methods Sustainability Wind Energy

Editors and affiliations

  • Wei Lee Woon
    • 1
  • Zeyar Aung
    • 2
  • Stuart Madnick
    • 3
  1. 1.Masdar Inst. of Science and TechnologyAbu DhabiUtd.Arab.Emir.
  2. 2.Masdar Inst. of Science and TechnologyAbu DhabiUtd.Arab.Emir.
  3. 3.MIT Sloan School of ManagementCambridgeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-13290-7
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-13289-1
  • Online ISBN 978-3-319-13290-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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