國立虎尾科技大學 |

Data analytics for renewable energy integration = 4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016 : revised selected papers /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data analytics for renewable energy integration/ edited by Wei Lee Woon ... [et al.].
Reminder of title:	4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016 : revised selected papers /
remainder title:	DARE 2016
other author:	Woon, Wei Lee.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer International Publishing : : 2017.,
Description:	vii, 137 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Smart power grids - Congresses. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-50947-1
ISBN:	9783319509471

Data analytics for renewable energy integration = 4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016 : revised selected papers /
Data analytics for renewable energy integration4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016 : revised selected papers /[electronic resource] :DARE 2016edited by Wei Lee Woon ... [et al.]. - Cham :Springer International Publishing :2017. - vii, 137 p. :ill., digital ;24 cm. - Lecture notes in computer science,100970302-9743 ;. - Lecture notes in computer science ;6140..

Locating Faults in Photovoltaic Systems Data -- Forecasting of Smart Meter Time Series Based on Neural Cybersecurity for Smart Cities: A Brief Review -- Machine Learning Prediction of Photovoltaic Energy from Satellite Sources -- Approximate Probabilistic Power Flow -- Dealing with Uncertainty: An Empirical Study on the Relevance of Renewable Energy Forecasting Methods -- Measuring Stakeholders' Perceptions of Cybersecurity for Renewable Energy Systems -- Selection of Numerical Weather Forecast Features for PV Power Predictions with Random Forests -- Evolutionary Multi-Objective Ensembles for Wind Power Prediction -- A Semi-Automatic Approach for Tech Mining and Interactive Taxonomy Visualization -- Decomposition of Aggregate Electricity Demand into the Seasonal-Thermal Components for Demand-Side Management Applications in "Smart Grids".

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.

ISBN: 9783319509471

Standard No.: 10.1007/978-3-319-50947-1doiSubjects--Topical Terms:

1070375
Smart power grids
--Congresses.

LC Class. No.: TK3105

Dewey Class. No.: 621.31

Data analytics for renewable energy integration = 4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016 : revised selected papers /
LDR:02487nam a2200349 a 4500 001 958261
003 DE-He213
005 20170803161122.0
006 m d
007 cr nn 008maaau
008 201118s2017 gw s 0 eng d
020 $a 9783319509471 $q (electronic bk.)
020 $a 9783319509464 $q (paper)
024 7 $a 10.1007/978-3-319-50947-1 $2 doi
035 $a 978-3-319-50947-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TK3105
072 7 $a UYQ $2 bicssc
072 7 $a TJFM1 $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 621.31 $2 23
090 $a TK3105 $b .D217 2016
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Data analytics for renewable energy integration $h [electronic resource] : $b 4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016 : revised selected papers / $c edited by Wei Lee Woon ... [et al.].
246 3 $a DARE 2016
260 $a Cham : $c 2017. $b Springer International Publishing : $b Imprint: Springer,
300 $a vii, 137 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 10097
505 0 $a Locating Faults in Photovoltaic Systems Data -- Forecasting of Smart Meter Time Series Based on Neural Cybersecurity for Smart Cities: A Brief Review -- Machine Learning Prediction of Photovoltaic Energy from Satellite Sources -- Approximate Probabilistic Power Flow -- Dealing with Uncertainty: An Empirical Study on the Relevance of Renewable Energy Forecasting Methods -- Measuring Stakeholders' Perceptions of Cybersecurity for Renewable Energy Systems -- Selection of Numerical Weather Forecast Features for PV Power Predictions with Random Forests -- Evolutionary Multi-Objective Ensembles for Wind Power Prediction -- A Semi-Automatic Approach for Tech Mining and Interactive Taxonomy Visualization -- Decomposition of Aggregate Electricity Demand into the Seasonal-Thermal Components for Demand-Side Management Applications in "Smart Grids".
520 $a 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.
650 0 $a Smart power grids $v Congresses. $3 1070375
650 0 $a Renewable resource integration $v Congresses $x Data processing. $3 1070376
650 0 $a Data mining $v Congresses. $3 528575
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Renewable and Green Energy. $3 683875
650 2 4 $a Mathematics of Computing. $3 669457
650 2 4 $a Energy Economics. $3 669400
700 1 $a Woon, Wei Lee. $3 1070372
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 6140. $3 744199
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-50947-1
950 $a Computer Science (Springer-11645)