Research on detecting abnormal energy consumption in energy management system

Li Shi; Ying Zuo; Fei Tao

doi:10.1007/978-981-10-2669-0_26

Research on detecting abnormal energy consumption in energy management system

Li Shi
, Ying Zuo
, Fei Tao^*

^*Corresponding author for this work

Beihang University

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

Abstract

Energy management system is an important means to realize energy saving emission reduction (ESER). Meanwhile, because of people’s bad habit of using energy, the abnormal energy consumption occur frequently. In order to solve this problem, a convenient energy management system, which can detect the abnormal energy, is designed. In this progress, it first builds a unified energyusing model and realizes a fast sensing and access to a large amount of energy equipment, and then a visual monitoring platform of energy consumption is established. Finally, a prototype application system that can detect the abnormal energy is developed by using C# and R programming language. Experiments result indicates that the proposed method can effectively find the phenomenon of energy waste and improve energy efficiency.

Original language	English
Title of host publication	Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings
Editors	Lin Zhang, Xiao Song, Yunjie Wu
Publisher	Springer Verlag
Pages	233-244
Number of pages	12
ISBN (Print)	9789811026683
DOIs	https://doi.org/10.1007/978-981-10-2669-0_26
State	Published - 2016
Event	16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016 - Beijing, China Duration: 8 Oct 2016 → 11 Oct 2016

Publication series

Name	Communications in Computer and Information Science
Volume	645
ISSN (Print)	1865-0929

Conference

Conference	16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016
Country/Territory	China
City	Beijing
Period	8/10/16 → 11/10/16

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Abnormal energy
Data acquisition
Energy management system

Access to Document

10.1007/978-981-10-2669-0_26

Cite this

Shi, L., Zuo, Y., & Tao, F. (2016). Research on detecting abnormal energy consumption in energy management system. In L. Zhang, X. Song, & Y. Wu (Eds.), Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings (pp. 233-244). (Communications in Computer and Information Science; Vol. 645). Springer Verlag. https://doi.org/10.1007/978-981-10-2669-0_26

Shi, Li ; Zuo, Ying ; Tao, Fei. / Research on detecting abnormal energy consumption in energy management system. Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings. editor / Lin Zhang ; Xiao Song ; Yunjie Wu. Springer Verlag, 2016. pp. 233-244 (Communications in Computer and Information Science).

@inproceedings{2817a421f32c4d26aa4db5263242eabf,

title = "Research on detecting abnormal energy consumption in energy management system",

abstract = "Energy management system is an important means to realize energy saving emission reduction (ESER). Meanwhile, because of people{\textquoteright}s bad habit of using energy, the abnormal energy consumption occur frequently. In order to solve this problem, a convenient energy management system, which can detect the abnormal energy, is designed. In this progress, it first builds a unified energyusing model and realizes a fast sensing and access to a large amount of energy equipment, and then a visual monitoring platform of energy consumption is established. Finally, a prototype application system that can detect the abnormal energy is developed by using C\# and R programming language. Experiments result indicates that the proposed method can effectively find the phenomenon of energy waste and improve energy efficiency.",

keywords = "Abnormal energy, Data acquisition, Energy management system",

author = "Li Shi and Ying Zuo and Fei Tao",

note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016 ; Conference date: 08-10-2016 Through 11-10-2016",

year = "2016",

doi = "10.1007/978-981-10-2669-0\_26",

language = "英语",

isbn = "9789811026683",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "233--244",

editor = "Lin Zhang and Xiao Song and Yunjie Wu",

booktitle = "Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings",

address = "德国",

}

Shi, L, Zuo, Y & Tao, F 2016, Research on detecting abnormal energy consumption in energy management system. in L Zhang, X Song & Y Wu (eds), Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings. Communications in Computer and Information Science, vol. 645, Springer Verlag, pp. 233-244, 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Beijing, China, 8/10/16. https://doi.org/10.1007/978-981-10-2669-0_26

Research on detecting abnormal energy consumption in energy management system. / Shi, Li; Zuo, Ying ; Tao, Fei.
Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings. ed. / Lin Zhang; Xiao Song; Yunjie Wu. Springer Verlag, 2016. p. 233-244 (Communications in Computer and Information Science; Vol. 645).

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

TY - GEN

T1 - Research on detecting abnormal energy consumption in energy management system

AU - Shi, Li

AU - Zuo, Ying

AU - Tao, Fei

N1 - Publisher Copyright: © Springer Science+Business Media Singapore 2016.

PY - 2016

Y1 - 2016

N2 - Energy management system is an important means to realize energy saving emission reduction (ESER). Meanwhile, because of people’s bad habit of using energy, the abnormal energy consumption occur frequently. In order to solve this problem, a convenient energy management system, which can detect the abnormal energy, is designed. In this progress, it first builds a unified energyusing model and realizes a fast sensing and access to a large amount of energy equipment, and then a visual monitoring platform of energy consumption is established. Finally, a prototype application system that can detect the abnormal energy is developed by using C# and R programming language. Experiments result indicates that the proposed method can effectively find the phenomenon of energy waste and improve energy efficiency.

AB - Energy management system is an important means to realize energy saving emission reduction (ESER). Meanwhile, because of people’s bad habit of using energy, the abnormal energy consumption occur frequently. In order to solve this problem, a convenient energy management system, which can detect the abnormal energy, is designed. In this progress, it first builds a unified energyusing model and realizes a fast sensing and access to a large amount of energy equipment, and then a visual monitoring platform of energy consumption is established. Finally, a prototype application system that can detect the abnormal energy is developed by using C# and R programming language. Experiments result indicates that the proposed method can effectively find the phenomenon of energy waste and improve energy efficiency.

KW - Abnormal energy

KW - Data acquisition

KW - Energy management system

UR - https://www.scopus.com/pages/publications/84988808384

U2 - 10.1007/978-981-10-2669-0_26

DO - 10.1007/978-981-10-2669-0_26

M3 - 会议稿件

AN - SCOPUS:84988808384

SN - 9789811026683

T3 - Communications in Computer and Information Science

SP - 233

EP - 244

BT - Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings

A2 - Zhang, Lin

A2 - Song, Xiao

A2 - Wu, Yunjie

PB - Springer Verlag

T2 - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016

Y2 - 8 October 2016 through 11 October 2016

ER -

Shi L, Zuo Y , Tao F. Research on detecting abnormal energy consumption in energy management system. In Zhang L, Song X, Wu Y, editors, Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings. Springer Verlag. 2016. p. 233-244. (Communications in Computer and Information Science). doi: 10.1007/978-981-10-2669-0_26

Research on detecting abnormal energy consumption in energy management system

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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