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AMPLIO VQA – A Web Based Visual Query Analysis System for Micro Grid Energy Mix Planning

AMPLIO VQA – A Web Based Visual Query Analysis System for Micro Grid Energy Mix Planning

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STOFFEL, Andreas, Leishi ZHANG, Stefan Hagen WEBER, Daniel KEIM, 2012. AMPLIO VQA – A Web Based Visual Query Analysis System for Micro Grid Energy Mix Planning. EuroVA 2012. Vienna, Austria, 4. Jun 2012 - 5. Jun 2012. In: MATKOVIC, Kresimir, ed., Giuseppe SANTUCCI, ed.. EuroVA 2012 : International Workshop on Visual Analytics. EuroVA 2012. Vienna, Austria, 4. Jun 2012 - 5. Jun 2012. Goslar:Eurographics Association, pp. 73-77. ISBN 978-3-905673-89-0

@inproceedings{Stoffel2012AMPLI-22567, title={AMPLIO VQA – A Web Based Visual Query Analysis System for Micro Grid Energy Mix Planning}, year={2012}, doi={10.2312/PE/EuroVAST/EuroVA12/073-077}, isbn={978-3-905673-89-0}, address={Goslar}, publisher={Eurographics Association}, booktitle={EuroVA 2012 : International Workshop on Visual Analytics}, pages={73--77}, editor={Matkovic, Kresimir and Santucci, Giuseppe}, author={Stoffel, Andreas and Zhang, Leishi and Weber, Stefan Hagen and Keim, Daniel} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/22567"> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-05-09T07:09:24Z</dcterms:available> <dcterms:title>AMPLIO VQA – A Web Based Visual Query Analysis System for Micro Grid Energy Mix Planning</dcterms:title> <dc:creator>Stoffel, Andreas</dc:creator> <dc:contributor>Keim, Daniel</dc:contributor> <dcterms:bibliographicCitation>EuroVA 2012 : International Workshop on Visual Analytics ; Vienna, Austria June 4 – 5, 2012 / Krešimir Matkovic and Giuseppe Santucci (eds.). - Goslar : Eurographics Association, 2012. - S. 73-77. - ISBN 978-3-905673-89-0</dcterms:bibliographicCitation> <dc:creator>Keim, Daniel</dc:creator> <dc:contributor>Stoffel, Andreas</dc:contributor> <dc:creator>Zhang, Leishi</dc:creator> <dc:creator>Weber, Stefan Hagen</dc:creator> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/22567"/> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103605204-4002607-1"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-05-09T07:09:24Z</dc:date> <dc:contributor>Zhang, Leishi</dc:contributor> <dc:contributor>Weber, Stefan Hagen</dc:contributor> <dc:rights>deposit-license</dc:rights> <dcterms:issued>2012</dcterms:issued> <dcterms:abstract xml:lang="eng">Micro grid technology brings the opportunity to integrate renewable energies with a traditional energy mix on a regional level and to achieve specific local goals. To obtain an optimal energy mix plan, different scenarios need to be simulated and analyzed. However, effective tools for analyzing such simulation results are lacking. Here we present an interactive visual query analysis tool designed for that purpose. The tool integrates effective visualization techniques and advanced pattern detection methods.</dcterms:abstract> <dc:language>eng</dc:language> </rdf:Description> </rdf:RDF>

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