Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9518)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: DARE 2015.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 papers)
Other volumes
-
Data Analytics for Renewable Energy Integration
Keywords
- artificial intelligence
- data mining
- machine learning
- renewable energy
- statistical methods
- analytics
- data analytics
- electrical engineering
- energy management systems
- fault detection
- GIS
- information extraction
- microgrid
- ordinary least squares regression
- power and energy
- smart grid
- solar energy
- sustainability
- wind energy
- wind power forecasting
About this book
This book
constitutes revised selected papers from the third ECML PKDD Workshop on Data
Analytics for Renewable Energy Integration, DARE 2015, held in Porto, Portugal,
in September 2015.
The 10 papers presented in this volume were carefully reviewed and selected for
inclusion in this book.
Editors and Affiliations
Bibliographic Information
Book Title: Data Analytics for Renewable Energy Integration
Book Subtitle: Third ECML PKDD Workshop, DARE 2015, Porto, Portugal, September 11, 2015. Revised Selected Papers
Editors: Wei Lee Woon, Zeyar Aung, Stuart Madnick
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-27430-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-27429-4Published: 15 December 2015
eBook ISBN: 978-3-319-27430-0Published: 14 December 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VII, 155
Number of Illustrations: 94 illustrations in colour
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Renewable and Green Energy, Mathematics of Computing, Energy Policy, Economics and Management