Understanding crowd energy consumption behaviors

Xiufeng Liu, Xu Cheng, Linda Yang, Huan Huo, Yongpin Liu, Per Sieverts Nielsen

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

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Abstract

Understanding crowd behavior is crucial for energy demand-side management. In this paper, we employ the fluid dynamics concept potential flow to model the energy demand shift patterns of the crowd in both temporal and spatial dimensions. To facilitate the use of the proposed method, we implement a visual analysis platform that allows users to interactively explore and interpret the shift patterns. The effectiveness of the proposed method will be evaluated through a hands-on experience with a real case study during the conference demonstration.
Original languageEnglish
Title of host publicationProceedings of the 26th International Conference on Extending Database Technology
Subtitle of host publicationEDBT 2023
PublisherOpenProceedings.org
Pages799-802
Number of pages4
ISBN (Electronic)9783893180929
DOIs
Publication statusPublished - 20 Mar 2023
Event26th International Conference on Extending Database Technology - Ioannina, Greece
Duration: 28 Mar 202331 Mar 2023
http://edbticdt2023.cs.uoi.gr/

Publication series

NameAdvances in Database Technology
PublisherOpen Proceedings
Number3
Volume26
ISSN (Electronic)2367-2005

Conference

Conference26th International Conference on Extending Database Technology
Abbreviated titleEDBT 2023
Country/TerritoryGreece
CityIoannina
Period28/03/2331/03/23
Internet address

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