Understanding crowd energy consumption behaviors

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

doi:10.48786/edbt.2023.68

Understanding crowd energy consumption behaviors

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

School of Computing

Technical University of Denmark

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of the 26th International Conference on Extending Database Technology
Subtitle of host publication	EDBT 2023
Publisher	OpenProceedings.org
Pages	799-802
Number of pages	4
ISBN (Electronic)	9783893180929
DOIs	https://doi.org/10.48786/edbt.2023.68
Publication status	Published - 20 Mar 2023
Event	26th International Conference on Extending Database Technology - Ioannina, Greece Duration: 28 Mar 2023 → 31 Mar 2023 http://edbticdt2023.cs.uoi.gr/

Publication series

Name	Advances in Database Technology
Publisher	Open Proceedings
Number	3
Volume	26
ISSN (Electronic)	2367-2005

Conference

Conference	26th International Conference on Extending Database Technology
Abbreviated title	EDBT 2023
Country/Territory	Greece
City	Ioannina
Period	28/03/23 → 31/03/23
Internet address	http://edbticdt2023.cs.uoi.gr/

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

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10.48786/edbt.2023.68

3-paper-137Final published version, 741 KBLicence: CC BY-NC-ND

Cite this

@inproceedings{ff15d0697a6b4241a144a92c06485a37,

title = "Understanding crowd energy consumption behaviors",

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.",

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

year = "2023",

month = mar,

day = "20",

doi = "10.48786/edbt.2023.68",

language = "English",

series = "Advances in Database Technology",

publisher = "OpenProceedings.org",

number = "3",

pages = "799--802",

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

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

url = "http://edbticdt2023.cs.uoi.gr/",

}

Liu, X, Cheng, X, Yang, L, Huo, H, Liu, Y & Nielsen, PS 2023, Understanding crowd energy consumption behaviors. in Proceedings of the 26th International Conference on Extending Database Technology : EDBT 2023., 137, Advances in Database Technology, no. 3, vol. 26, OpenProceedings.org, pp. 799-802, 26th International Conference on Extending Database Technology, Ioannina, Greece, 28/03/23. https://doi.org/10.48786/edbt.2023.68

Understanding crowd energy consumption behaviors. / Liu, Xiufeng; Cheng, Xu ; Yang, Linda et al.
Proceedings of the 26th International Conference on Extending Database Technology : EDBT 2023. OpenProceedings.org, 2023. p. 799-802 137 (Advances in Database Technology; Vol. 26, No. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Understanding crowd energy consumption behaviors

AU - Liu, Xiufeng

AU - Cheng, Xu

AU - Yang, Linda

AU - Huo, Huan

AU - Liu, Yongpin

AU - Nielsen, Per Sieverts

PY - 2023/3/20

Y1 - 2023/3/20

N2 - 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.

AB - 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.

UR - https://openproceedings.org/html/pages/index.html

U2 - 10.48786/edbt.2023.68

DO - 10.48786/edbt.2023.68

M3 - Conference contribution

T3 - Advances in Database Technology

SP - 799

EP - 802

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

PB - OpenProceedings.org

T2 - 26th International Conference on Extending Database Technology

Y2 - 28 March 2023 through 31 March 2023

ER -

Understanding crowd energy consumption behaviors

Abstract

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UN SDGs

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