Discovering unexpected information using a building energy visualization tool

Benoit Lange 1 Nancy Rodriguez 2 William Puech 2 Xavier Vasques 3
1 LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 IBM PSSC Montpellier - Innovation Lab.
Abstract : On this paper we present a 3D visualization tool developed to gain insight about buildings energy consumption. We will focus on the usage of this software to extract information from a raw dataset, and more especially how unexpected features can be discovered. In this paper, we will present some related work on data visualization, our visualization tool and finally, two case studies of data analysis using visualization
Keywords : Surveillance systems Sensors Visualization Buildings Energy efficiency Volume rendering Information technology Data mining Databases
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00808118
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Submitted on : Thursday, April 4, 2013 - 10:31:22 PM
Last modification on : Monday, October 22, 2018 - 9:12:02 PM
Long-term archiving on: Friday, July 5, 2013 - 4:23:26 AM

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Benoit Lange, Nancy Rodriguez, William Puech, Xavier Vasques. Discovering unexpected information using a building energy visualization tool. Electronic Imaging, Feb 2013, San Francisco, CA, United States. pp.86500Q, ⟨10.1117/12.2000273⟩. ⟨lirmm-00808118⟩

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