Data Analytics for Renewable Energy Integration Second ECML PKDD Wor
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 se
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Wei Lee Woon Zeyar Aung Stuart Madnick (Eds.)
Data Analytics for Renewable Energy Integration Second ECML PKDD Workshop, DARE 2014 Nancy, France, September 19, 2014 Revised Selected Papers
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Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/1244
Wei Lee Woon Zeyar Aung Stuart Madnick (Eds.) •
Data Analytics for Renewable Energy Integration Second ECML PKDD Workshop, DARE 2014 Nancy, France, September 19, 2014 Revised Selected Papers
123
Editors Wei Lee Woon Masdar Institute of Science and Technology Abu Dhabi UAE
Stuart Madnick MIT Sloan School of Management Cambridge, MA USA
Zeyar Aung Masdar Institute of Science and Technology Abu Dhabi UAE
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-13289-1 ISBN 978-3-319-13290-7 (eBook) DOI 10.1007/978-3-319-13290-7 Library of Congress Control Number: 2014956225 LNCS Sublibrary: SL7 – Artificial Intelligence Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.springer.com)
Preface
This volume contains the papers presented at DARE 2014: The Second International Workshop on Data Analytics for Renewable Energy Integration, which was held in Nancy, France in September 2014 and hosted by ECML/PKDD (the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) 2014. Concerns about climate change, energy security
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