國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Data analytics for renewable energy ...

(1998 :)

Data analytics for renewable energy integration4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data analytics for renewable energy integrationedited by Wei Lee Woon ... [et al.].
其他題名:	4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016 : revised selected papers /
其他題名:	DARE 2016
其他作者:	Woon, Wei Lee.
團體作者:
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	vii, 137 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Smart power gridsCongresses.
電子資源:	http://dx.doi.org/10.1007/978-3-319-50947-1
ISBN:	9783319509471$q(electronic bk.)

Data analytics for renewable energy integration4th 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 ;4891..

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$q(electronic bk.)

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

701643
Smart power grids
--Congresses.

LC Class. No.: TK3105

Dewey Class. No.: 621.31

Data analytics for renewable energy integration4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016 : revised selected papers /
LDR:02487nmm a2200349 a 4500 001 506682
003 DE-He213
005 20170803161122.0
006 m d
007 cr nn 008maaau
008 171030s2017 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 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
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 : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
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 701643
650 0 $a Renewable resource integration $v Congresses $x Data processing. $3 702739
650 0 $a Data mining $v Congresses. $3 380776
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Renewable and Green Energy. $3 309696
650 2 4 $a Mathematics of Computing. $3 273710
650 2 4 $a Energy Economics. $3 276499
700 1 $a Woon, Wei Lee. $3 702736
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-50947-1
950 $a Computer Science (Springer-11645)