Understanding crowd energy consumption behaviors

Xiufeng Liu; Huan Huo; Xu Cheng; Yongping Liu; Yanyan Yang; Per Sieverts Nielsen

doi:10.48786/edbt.2023.68

Understanding crowd energy consumption behaviors

Xiufeng Liu, Huan Huo, Xu Cheng^*, Yongping Liu, Yanyan Yang , Per Sieverts Nielsen

^*Corresponding author for this work

Department of Technology, Management and Economics

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Understanding crowd behavior is crucial for energy demand-side management.Inthispaper,weemploythefluiddynamicsconcept 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 language	English
Title of host publication	Proceedings of the 26th International Conference on Extending Database Technology (EDBT)
Publication date	2023
Pages	799-802
DOIs	https://doi.org/10.48786/edbt.2023.68
Publication status	Published - 2023
Event	26th International Conference on Extending Database Technology (EDBT) - Ioannina, Greece Duration: 28 Mar 2023 → 31 Mar 2023 Conference number: 26

Conference

Conference	26th International Conference on Extending Database Technology (EDBT)
Number	26
Country/Territory	Greece
City	Ioannina
Period	28/03/2023 → 31/03/2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Understanding crowd energy consumption behaviors",

abstract = "Understanding crowd behavior is crucial for energy demand-side management.Inthispaper,weemploythefluiddynamicsconcept 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.",

author = "Xiufeng Liu and Huan Huo and Xu Cheng and Yongping Liu and Yanyan Yang and Nielsen, {Per Sieverts}",

year = "2023",

doi = "10.48786/edbt.2023.68",

language = "English",

pages = "799--802",

booktitle = "Proceedings of the 26th International Conference on Extending Database Technology (EDBT)",

note = "26th International Conference on Extending Database Technology (EDBT) ; Conference date: 28-03-2023 Through 31-03-2023",

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AU - Liu, Xiufeng

AU - Huo, Huan

AU - Cheng, Xu

AU - Liu, Yongping

AU - Yang , Yanyan

AU - Nielsen, Per Sieverts

N1 - Conference code: 26

PY - 2023

Y1 - 2023

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AB - Understanding crowd behavior is crucial for energy demand-side management.Inthispaper,weemploythefluiddynamicsconcept 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.

U2 - 10.48786/edbt.2023.68

DO - 10.48786/edbt.2023.68

M3 - Article in proceedings

SP - 799

EP - 802

BT - Proceedings of the 26th International Conference on Extending Database Technology (EDBT)

T2 - 26th International Conference on Extending Database Technology (EDBT)

Y2 - 28 March 2023 through 31 March 2023

ER -

Understanding crowd energy consumption behaviors

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UN SDGs

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