Data analytics for renewable energy integration : informing the generation and distribution of renewable energy : 5th ECML PKDD Workshop, DARE 2017, Skopje, Macedonia, September 22, 2017, Revised selected papers /

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Bibliographic Details
Meeting name:	DARE (Workshop) (5th : 2017 : Skopje, North Macedonia)
Imprint:	Cham, Switzerland : Springer, 2017.
Description:	1 online resource (x, 133 pages) : illustrations
Language:	English
Series:	Lecture notes in computer science, 0302-9743 ; 10691 Lecture notes in artificial intelligence LNCS sublibrary. SL 7, Artificial intelligence Lecture notes in computer science ; 10691. Lecture notes in computer science. Lecture notes in artificial intelligence. LNCS sublibrary. SL 7, Artificial intelligence.
Subject:	Smart power grids -- Congresses. Renewable resource integration -- Congresses -- Data processing. Data mining -- Congresses. Data mining. Renewable resource integration. Smart power grids. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11389358

Hidden Bibliographic Details
Varying Form of Title:	DARE 2017
Other authors / contributors:	Woon, Wei Lee, editor. Aung, Zeyar, editor. Kramer, Oliver (Professor of computer science), editor. Madnick, Stuart E., editor.
ISBN:	9783319716435 3319716433 9783319716428 3319716425
Digital file characteristics:	text file PDF
Notes:	Includes author index. Online resource; title from PDF title page (SpringerLink, viewed December 5, 2017).
Summary:	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.
Other form:	Printed edition: 9783319716428
Standard no.:	10.1007/978-3-319-71643-5

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