Woon / Aung / Madnick Data Analytics for Renewable Energy Integration

Third ECML PKDD Workshop, DARE 2015, Porto, Portugal, September 11, 2015. Revised Selected Papers
1. Auflage 2015
ISBN: 978-3-319-27430-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 155 Seiten, eBook

Reihe: Lecture Notes in Artificial Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Woon, Wei Lee

Aung, Zeyar

Madnick, Stuart

Inhaltsverzeichnis

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.