UID:
almahu_9947363879502882
Format:
IX, 151 p. 63 illus.
,
online resource.
ISBN:
9783319132907
Series Statement:
Lecture Notes in Computer Science, 8817
Content:
This book constitutes revised selected papers from the second ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2014, held in Nancy, France, in September 2014. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book.
Note:
Towards Flexibility Detection in Device-Level Energy Consumption -- Balancing Energy Flexibilities Through Aggregation -- Machine Learning Prediction of Large Area Photovoltaic Energy Production -- The Research on Vulnerability Analysis in OpenADR for Smart Grid -- Improving an Accuracy of ANN-Based Mesoscale-Microscale Coupling Model by Data Categorization: With Application to Wind Forecast for Offshore and Complex Terrain Onshore Wind Farms -- PowerScope: Early Event Detection and Identification in Electric Power Systems -- Machine Learning Techniques for Supporting Renewable Energy Generation and Integration: A Survey -- A Framework for Data Mining in Wind Power Time Series -- Systematical Evaluation of Solar Energy Supply Forecasts -- Forecasting and Visualization of Renewable Energy Technologies Using Keyword Taxonomies -- Rooftop Detection for Planning of Solar PV Deployment: A Case Study in Abu Dhabi.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783319132891
Language:
English
Subjects:
Computer Science
Keywords:
Konferenzschrift
DOI:
10.1007/978-3-319-13290-7
URL:
http://dx.doi.org/10.1007/978-3-319-13290-7
URL:
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