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Data Analytics for Renewable Energy ...
~
Workshop on the Preservation of Stability under Discretization ((2001 :)
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 /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy/ edited by Wei Lee Woon ... [et al.].
Reminder of title:
5th ECML PKDD Workshop, DARE 2017, Skopje, Macedonia, September 22, 2017 : revised selected papers /
remainder title:
DARE 2017
other author:
Woon, Wei Lee.
corporate name:
Workshop on the Preservation of Stability under Discretization
Published:
Cham :Springer International Publishing : : 2017.,
Description:
x, 133 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Smart power grids - Congresses. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-71643-5
ISBN:
9783319716435
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 /
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 /[electronic resource] :DARE 2017edited by Wei Lee Woon ... [et al.]. - Cham :Springer International Publishing :2017. - x, 133 p. :ill., digital ;24 cm. - Lecture notes in computer science,106910302-9743 ;. - Lecture notes in computer science ;6140..
Imitative learning for online planning in microgrids -- A novel central voltage-control strategy for smart LV distribution networks -- Quantifying energy demand in mountainous areas -- Performance analysis of data mining techniques for improving the accuracy of wind power forecast combination -- Evaluation of forecasting methods for very small-scale networks -- Classification cascades of overlapping feature ensembles for energy time series data -- Correlation analysis for determining the potential of home energy management systems in Germany -- Predicting hourly energy consumption. Can regression modeling improve on an autoregressive baseline -- An OPTICS clustering-based anomalous data filtering algorithm for condition monitoring of power equipment -- Argument visualization and narrative approaches for collaborative spatial decision making and knowledge construction: A case study for an offshore wind farm project.
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.
ISBN: 9783319716435
Standard No.: 10.1007/978-3-319-71643-5doiSubjects--Topical Terms:
1070375
Smart power grids
--Congresses.
LC Class. No.: TK3105
Dewey Class. No.: 621.31
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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Imitative learning for online planning in microgrids -- A novel central voltage-control strategy for smart LV distribution networks -- Quantifying energy demand in mountainous areas -- Performance analysis of data mining techniques for improving the accuracy of wind power forecast combination -- Evaluation of forecasting methods for very small-scale networks -- Classification cascades of overlapping feature ensembles for energy time series data -- Correlation analysis for determining the potential of home energy management systems in Germany -- Predicting hourly energy consumption. Can regression modeling improve on an autoregressive baseline -- An OPTICS clustering-based anomalous data filtering algorithm for condition monitoring of power equipment -- Argument visualization and narrative approaches for collaborative spatial decision making and knowledge construction: A case study for an offshore wind farm project.
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