Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10691)
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 2017.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (11 papers)
-
Front Matter
-
Back Matter
Other Volumes
-
Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy
About this book
This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017.
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
-
Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates
Wei Lee Woon, Zeyar Aung
-
Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
Oliver Kramer
-
MIT Sloan School of Management, Cambridge, USA
Stuart Madnick
Bibliographic Information
Book Title: Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy
Book Subtitle: 5th ECML PKDD Workshop, DARE 2017, Skopje, Macedonia, September 22, 2017, Revised Selected Papers
Editors: Wei Lee Woon, Zeyar Aung, Oliver Kramer, Stuart Madnick
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-71643-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-71642-8Published: 17 November 2017
eBook ISBN: 978-3-319-71643-5Published: 24 November 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 133
Number of Illustrations: 49 b/w illustrations
Topics: Artificial Intelligence, Computer Communication Networks, Data Mining and Knowledge Discovery, Renewable and Green Energy, Energy Policy, Economics and Management