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

This bookconstitutes revised selected papers from the third ECML PKDD Workshop on DataAnalytics 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 forinclusion in this book.

Inhaltsverzeichnis

Imitative learningfor online planning in microgrids.- A novel central voltage-control strategyfor smart LV distribution networks.- Quantifying energy demand in mountainousareas.- Performance analysis of data mining techniques for improving theaccuracy of wind power forecast combination.- Evaluation of forecasting methodsfor very small-scale networks.- Classification cascades of overlapping featureensembles for energy time series data.- Correlation analysis for determiningthe potential of home energy management systems in Germany.- Predicting hourlyenergy consumption. Can regression modeling improve on an autoregressivebaseline.- An OPTICS clustering-based anomalous data filtering algorithm forcondition monitoring of power equipment.- Argument visualization and narrativeapproaches for collaborative spatial decision making and knowledgeconstruction: A case study for an offshore wind farm project.

Zusammenfassung

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.

Produktdetails

• Mitarbeit: Zeyar Aung (Herausgeber), Stuart Madnick (Herausgeber), Wei Lee Woon (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 15.12.2015
• EAN: 9783319274294
• ISBN: 978-3-31-927429-4
• Seiten: 155
• Abmessung: 167 mm x 234 mm x 8 mm
• Gewicht: 260 g
• Illustration: VII, 155 p. 94 illus. in color.
• Serien: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik; Umwelt, C, Data Mining, Artificial Intelligence, Wissensbasierte Systeme, Expertensysteme, Alternative und erneuerbare Energiequellen und -technik, Mathematik für Informatiker, computer science, Renewable Energy, Energy Policy, Economics and Management, Energy technology & engineering, Data Mining and Knowledge Discovery, Mathematics of Computing, Renewable and Green Energy, Energy Policy, Energy industries & utilities, Mathematical theory of computation, Computer science—Mathematics, Maths for computer scientists, Renewable energy resources, Alternative & renewable energy sources & technology, Energy and state, Expert systems / knowledge-based systems, wind power forecasting