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VAP: a visual analysis tool for energy consumption spatio-temporal pattern discovery

Research output: Chapter in Book/Report/Conference proceedingConference contribution

In the context of urbanization and the rapid growth of energy demand, understanding the spatial and temporal dynamics of urban energy use is crucial for identifying energy-saving potentials. In this demo, we present a visual analysis tool, VAP, that allows users to explore the dynamics of urban energy use at different spatial and temporal scales. In contrast to traditional statistical and machine learning methods, the visual analysis based tool focuses on analytical thinking, user interactions and answering business questions by examining different visual analysis views. In the demonstration, conference attendees will interact with VAP and learn its capabilities in discovering typical consumption patterns and spatio-temporal shift patterns from a real-world case study of electricity.
Original languageEnglish
Title of host publicationEDBT 2020
Subtitle of host publication23rd International Conference on Extending Database Technology Copenhagen, Denkmark, March 30–April 2, 2020 Proceedings
EditorsAngela Bonifati, Yongluan Zhou, Marcos Antonio Vaz Salles, Alexander Böhm, Dan Olteanu, George Fletcher, Arijit Khan, Bin Yang
PublisherOpenProceedings.org
Pages579-582
ISBN (Electronic)978-3-89318-083-7
DOIs
Publication statusPublished - 2 Apr 2020
EventInternational Conference on Extending Database Technology - Scandic Falkoner Congress Center, Copenhagen, Denmark
Duration: 30 Mar 20202 Apr 2020
Conference number: 23rd
https://diku-dk.github.io/edbticdt2020/?contents=main.html

Publication series

NameAdvances in Database Technology
PublisherOpenProceedings.org
ISSN (Electronic)2367-2005

Conference

ConferenceInternational Conference on Extending Database Technology
Abbreviated titleEDBT 2020
CountryDenmark
CityCopenhagen
Period30/03/202/04/20
Internet address

Documents

  • paper EDBT (1)

    Rights statement: © 2020 Copyright held by the owner/author(s). Published in Proceedings of the 23rd International Conference on Extending Database Technology (EDBT), March 30-April 2, 2020, ISBN 978-3-89318-083-7 on OpenProceedings.org. Distribution of this paper is permitted under the terms of the Creative Commons license CC-by-nc-nd 4.0.

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