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Data Analytics for Renewable Energy Integration

Third ECML PKDD Workshop, DARE 2015, Porto, Portugal, September 11, 2015. Revised Selected Papers

  • Wei Lee Woon
  • Zeyar Aung
  • Stuart Madnick

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9518)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9518)

Table of contents

  1. Front Matter
    Pages I-VII
  2. Samy Aittahar, Vincent François-Lavet, Stefan Lodeweyckx, Damien Ernst, Raphael Fonteneau
    Pages 1-15
  3. Efrain Bernal Alzate, Qiang Li, Jian Xie
    Pages 16-30
  4. Lefkothea Papada, Dimitris Kaliampakos
    Pages 31-43
  5. Ceyda Er Koksoy, Mehmet Baris Ozkan, Dilek Küçük, Abdullah Bestil, Sena Sonmez, Serkan Buhan et al.
    Pages 44-55
  6. Jean Cavallo, Andrei Marinescu, Ivana Dusparic, Siobhán Clarke
    Pages 56-75
  7. Judith Neugebauer, Oliver Kramer, Michael Sonnenschein
    Pages 76-93
  8. Aline Kirsten Vidal de Oliveira, Christian Kandler
    Pages 94-104
  9. Pierre Dagnely, Tom Ruette, Tom Tourwé, Elena Tsiporkova, Clara Verhelst
    Pages 105-122
  10. Back Matter
    Pages 155-155

About these proceedings

Introduction

This book constitutes revised selected papers from the third ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2015, held in Porto, Portugal, in September 2015.
The 10 papers presented in this volume were carefully reviewed and selected for inclusion in this book.

Keywords

artificial intelligence data mining machine learning renewable energy statistical methods analytics data analytics electrical engineering energy management systems fault detection GIS information extraction microgrid ordinary least squares regression power and energy smart grid solar energy sustainability wind energy wind power forecasting

Editors and affiliations

  • Wei Lee Woon
    • 1
  • Zeyar Aung
    • 2
  • Stuart Madnick
    • 3
  1. 1.Electrical Eng. & Computer ScienceMasdar Inst Science & TechnologyAbu DhabiUnited Arab Emirates
  2. 2.Electrical Eng. & Computer ScienceMasdar Inst. of Science &TechnologyAbu DhabiUnited Arab Emirates
  3. 3.MIT Sloan School of ManagementCAMBRIDGEUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-27430-0
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-27429-4
  • Online ISBN 978-3-319-27430-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site