Data Analytics for Renewable Energy Integration: 4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016, Revised Selected Papers

Author:   Wei Lee Woon ,  Zeyar Aung ,  Oliver Kramer ,  Stuart Madnick
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   10097
ISBN:  

9783319509464


Pages:   137
Publication Date:   19 January 2017
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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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


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Author:   Wei Lee Woon ,  Zeyar Aung ,  Oliver Kramer ,  Stuart Madnick
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   10097
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783319509464


ISBN 10:   3319509462
Pages:   137
Publication Date:   19 January 2017
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

"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 forWind 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""."

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