Data Analytics for Renewable Energy Integration: Third ECML PKDD Workshop, DARE 2015, Porto, Portugal, September 11, 2015. Revised Selected Papers

Author:   Wei Lee Woon ,  Zeyar Aung ,  Stuart Madnick
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2015
Volume:   9518
ISBN:  

9783319274294


Pages:   155
Publication Date:   15 December 2015
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Data Analytics for Renewable Energy Integration: Third ECML PKDD Workshop, DARE 2015, Porto, Portugal, September 11, 2015. Revised Selected Papers


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Overview

This book constitutes revised selected papers from the third ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2015, held in Porto, Portugal, in September 2015. The 10 papers presented in this volume were carefully reviewed and selected for inclusion in this book.

Full Product Details

Author:   Wei Lee Woon ,  Zeyar Aung ,  Stuart Madnick
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2015
Volume:   9518
Dimensions:   Width: 15.50cm , Height: 0.90cm , Length: 23.50cm
Weight:   2.584kg
ISBN:  

9783319274294


ISBN 10:   3319274295
Pages:   155
Publication Date:   15 December 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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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