Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10097)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): DARE: International Workshop on Data Analytics for Renewable Energy Integration
Conference proceedings info: DARE 2016.
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Table of contents (11 papers)
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Front Matter
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Back Matter
About this book
This book constitutes revised selected papers from the 4th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2016, held in Riva del Garda, Italy, in September 2016.
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.
Editors and Affiliations
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Masdar Institute of Science and Technology , Abu Dhabi, United Arab Emirates
Wei Lee Woon
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Electrical Eng. & Computer Science, Masdar Inst. of Science &Technology Electrical Eng. & Computer Science, Abu Dhabi, United Arab Emirates
Zeyar Aung
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Informatik, Universität Oldenburg Informatik, Oldenburg, Germany
Oliver Kramer
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Massachusetts Institute of Technology , Cambridge, USA
Stuart Madnick
Bibliographic Information
Book Title: Data Analytics for Renewable Energy Integration
Book Subtitle: 4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016, Revised Selected Papers
Editors: Wei Lee Woon, Zeyar Aung, Oliver Kramer, Stuart Madnick
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-50947-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-50946-4Published: 19 January 2017
eBook ISBN: 978-3-319-50947-1Published: 18 January 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VII, 137
Number of Illustrations: 58 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Renewable and Green Energy, Mathematics of Computing, Energy Policy, Economics and Management