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DARE (Workshop) (2016 :)

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

Record Type:	Electronic resources : 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:	DARE (Workshop)
Published:	Cham :Springer International Publishing : : 2017.,
Description:	vii, 137 p. :ill., digital ;24 cm.
[NT 15003449]:	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".
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 ;10097..

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:

3216669
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 /
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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.
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