Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11325)
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 2018.
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Table of contents (12 papers)
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Front Matter
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Back Matter
Other Volumes
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Data Analytics for Renewable Energy Integration. Technologies, Systems and Society
About this book
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
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Masdar Institute (Khalifa University), Abu Dhabi, United Arab Emirates
Wei Lee Woon, Zeyar Aung
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Autonomous University of Madrid, Madrid, Spain
Alejandro Catalina Feliú
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Massachusetts Institute of Technology, Cambridge, USA
Stuart Madnick
Bibliographic Information
Book Title: Data Analytics for Renewable Energy Integration. Technologies, Systems and Society
Book Subtitle: 6th ECML PKDD Workshop, DARE 2018, Dublin, Ireland, September 10, 2018, Revised Selected Papers
Editors: Wei Lee Woon, Zeyar Aung, Alejandro Catalina Feliú, Stuart Madnick
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-04303-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-030-04302-5Published: 17 November 2018
eBook ISBN: 978-3-030-04303-2Published: 16 November 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 167
Number of Illustrations: 10 b/w illustrations, 65 illustrations in colour
Topics: Artificial Intelligence, Computer Communication Networks, Data Mining and Knowledge Discovery, Renewable and Green Energy, Energy Policy, Economics and Management