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Data Analytics for Renewable Energy Integration. Technologies, Systems and Society

6th ECML PKDD Workshop, DARE 2018, Dublin, Ireland, September 10, 2018, Revised Selected Papers

  • Wei Lee Woon
  • Zeyar Aung
  • Alejandro Catalina Feliú
  • Stuart Madnick
Conference proceedings DARE 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11325)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11325)

Table of contents

  1. Front Matter
    Pages I-X
  2. Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro
    Pages 13-26
  3. Janosch Henze, Stephan Kutzner, Bernhard Sick
    Pages 27-48
  4. Ole J. Mengshoel, Priya K. Sundararajan, Erik Reed, Dongzhen Piao, Briana Johnson
    Pages 63-82
  5. Yusuf Arslan, Dilek Küçük, Sinan Eren, Aysenur Birturk
    Pages 103-115
  6. Yusuf Arslan, Aybike Şimşek Dilbaz, Seyda Ertekin, Pinar Karagoz, Aysenur Birturk, Sinan Eren et al.
    Pages 116-126
  7. Ke Wang, Haiwang Zhong, Nanpeng Yu, Qing Xia
    Pages 137-147
  8. Back Matter
    Pages 167-167

About these proceedings

Introduction

This book constitutes the revised selected papers from the 6th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2018, held in Dublin, Ireland, in September 2018.

The 9 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 computer networks data mining energy efficiency energy resources estimation forecasting graphical model learning algorithms machine learning techniques probabilistic graphical models renewable energy sensors smart grid solar energy state estimation wind energy wireless sensor networks

Editors and affiliations

  • Wei Lee Woon
    • 1
  • Zeyar Aung
    • 2
  • Alejandro Catalina Feliú
    • 3
  • Stuart Madnick
    • 4
  1. 1.Masdar Institute (Khalifa University)Abu DhabiUnited Arab Emirates
  2. 2.Masdar Institute (Khalifa University)Abu DhabiUnited Arab Emirates
  3. 3.Autonomous University of MadridMadridSpain
  4. 4.Massachusetts Institute of TechnologyCambridgeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-04303-2
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-04302-5
  • Online ISBN 978-3-030-04303-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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