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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

  • Wei Lee Woon
  • Zeyar Aung
  • Oliver Kramer
  • Stuart Madnick

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10691)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10691)

Table of contents

  1. Front Matter
    Pages I-X
  2. Diana Manjarres, Ricardo Alonso, Sergio Gil-Lopez, Itziar Landa-Torres
    Pages 1-12
  3. Nikolaos Nikolaou, Efstratios Batzelis, Gavin Brown
    Pages 13-25
  4. Jaroslav Loebl, Helmut Posch, Viera Rozinajová
    Pages 26-32
  5. Maël Guillemé, Laurence Rozé, Véronique Masson, Cérès Carton, René Quiniou, Alexandre Termier
    Pages 59-71
  6. Mehmet Baris Ozkan, Umut Guvengir, Dilek Küçük, Ali Unver Secen, Serkan Buhan, Turan Demirci et al.
    Pages 72-82
  7. Janosch Henze, Tanja Kneiske, Martin Braun, Bernhard Sick
    Pages 83-93
  8. Astrid Dahl, Edwin Bonilla
    Pages 94-106
  9. Alejandro Catalina, José R. Dorronsoro
    Pages 121-132
  10. Back Matter
    Pages 133-133

About these proceedings

Introduction

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.

Keywords

artificial intelligence renewable energy data analytics data mining demand response forecasting learning algorithms machine learning neural network signal processing smart grid solar energy wind energy

Editors and affiliations

  • Wei Lee Woon
    • 1
  • Zeyar Aung
    • 2
  • Oliver Kramer
    • 3
  • Stuart Madnick
    • 4
  1. 1.Masdar Institute of Science and TechnologyAbu DhabiUnited Arab Emirates
  2. 2.Masdar Institute of Science and TechnologyAbu DhabiUnited Arab Emirates
  3. 3.Carl von Ossietzky University of OldenburgOldenburgGermany
  4. 4.MIT Sloan School of ManagementCambridgeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-71643-5
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-71642-8
  • Online ISBN 978-3-319-71643-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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