Evaluation Method of Smart Meters Operating Status Based on Improved TOPSIS and Cluster Analysis

Li You; Xu Dan; Sui Shaobo

doi:10.1109/PHM-Shanghai49105.2020.9281002

Evaluation Method of Smart Meters Operating Status Based on Improved TOPSIS and Cluster Analysis

Li You
, Xu Dan
, Sui Shaobo

BUAA

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

2 Scopus citations

Abstract

A new operating status evaluation method for smart meters was proposed in this paper, which combined TOPSIS, deviation maximization and cluster analysis. First of all, we built a status influence quantity of smart meters. Then we considered that the TOPSIS method can only get the relative evaluation result and can not reflect the weight of different evaluation vector. Thus, the calculation formula of distance was improved, in order to obtain the absolute evaluation result in the TOPSIS analysis. Combining with the empowerment of maximizing deviation method, the operating status scores of smart meters were obtained. Finally, combined with the clustering method, the operating status scores of the smart meters were discretized, thus the operating status of smart meters were determined.

Original language	English
Title of host publication	2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020
Editors	Wei Guo, Steven Li, Qiang Miao
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728159454
DOIs	https://doi.org/10.1109/PHM-Shanghai49105.2020.9281002
State	Published - 16 Oct 2020
Externally published	Yes
Event	2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020 - Shanghai, China Duration: 16 Oct 2020 → 18 Oct 2020

Publication series

Name	2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020

Conference

Conference	2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020
Country/Territory	China
City	Shanghai
Period	16/10/20 → 18/10/20

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

clustering
hierarchy
smart meters
status evaluation

Access to Document

10.1109/PHM-Shanghai49105.2020.9281002

Cite this

You, L., Dan, X., & Shaobo, S. (2020). Evaluation Method of Smart Meters Operating Status Based on Improved TOPSIS and Cluster Analysis. In W. Guo, S. Li, & Q. Miao (Eds.), 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020 Article 9281002 (2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PHM-Shanghai49105.2020.9281002

You, Li ; Dan, Xu ; Shaobo, Sui. / Evaluation Method of Smart Meters Operating Status Based on Improved TOPSIS and Cluster Analysis. 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020. editor / Wei Guo ; Steven Li ; Qiang Miao. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020).

@inproceedings{aa59893ef29c4d36ad0b745bcb43a28f,

title = "Evaluation Method of Smart Meters Operating Status Based on Improved TOPSIS and Cluster Analysis",

abstract = "A new operating status evaluation method for smart meters was proposed in this paper, which combined TOPSIS, deviation maximization and cluster analysis. First of all, we built a status influence quantity of smart meters. Then we considered that the TOPSIS method can only get the relative evaluation result and can not reflect the weight of different evaluation vector. Thus, the calculation formula of distance was improved, in order to obtain the absolute evaluation result in the TOPSIS analysis. Combining with the empowerment of maximizing deviation method, the operating status scores of smart meters were obtained. Finally, combined with the clustering method, the operating status scores of the smart meters were discretized, thus the operating status of smart meters were determined.",

keywords = "clustering, hierarchy, smart meters, status evaluation",

author = "Li You and Xu Dan and Sui Shaobo",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020 ; Conference date: 16-10-2020 Through 18-10-2020",

year = "2020",

month = oct,

day = "16",

doi = "10.1109/PHM-Shanghai49105.2020.9281002",

language = "英语",

series = "2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Wei Guo and Steven Li and Qiang Miao",

booktitle = "2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020",

address = "美国",

}

You, L, Dan, X & Shaobo, S 2020, Evaluation Method of Smart Meters Operating Status Based on Improved TOPSIS and Cluster Analysis. in W Guo, S Li & Q Miao (eds), 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020., 9281002, 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020, Institute of Electrical and Electronics Engineers Inc., 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020, Shanghai, China, 16/10/20. https://doi.org/10.1109/PHM-Shanghai49105.2020.9281002

Evaluation Method of Smart Meters Operating Status Based on Improved TOPSIS and Cluster Analysis. / You, Li; Dan, Xu; Shaobo, Sui.
2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020. ed. / Wei Guo; Steven Li; Qiang Miao. Institute of Electrical and Electronics Engineers Inc., 2020. 9281002 (2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020).

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

TY - GEN

T1 - Evaluation Method of Smart Meters Operating Status Based on Improved TOPSIS and Cluster Analysis

AU - You, Li

AU - Dan, Xu

AU - Shaobo, Sui

PY - 2020/10/16

Y1 - 2020/10/16

N2 - A new operating status evaluation method for smart meters was proposed in this paper, which combined TOPSIS, deviation maximization and cluster analysis. First of all, we built a status influence quantity of smart meters. Then we considered that the TOPSIS method can only get the relative evaluation result and can not reflect the weight of different evaluation vector. Thus, the calculation formula of distance was improved, in order to obtain the absolute evaluation result in the TOPSIS analysis. Combining with the empowerment of maximizing deviation method, the operating status scores of smart meters were obtained. Finally, combined with the clustering method, the operating status scores of the smart meters were discretized, thus the operating status of smart meters were determined.

AB - A new operating status evaluation method for smart meters was proposed in this paper, which combined TOPSIS, deviation maximization and cluster analysis. First of all, we built a status influence quantity of smart meters. Then we considered that the TOPSIS method can only get the relative evaluation result and can not reflect the weight of different evaluation vector. Thus, the calculation formula of distance was improved, in order to obtain the absolute evaluation result in the TOPSIS analysis. Combining with the empowerment of maximizing deviation method, the operating status scores of smart meters were obtained. Finally, combined with the clustering method, the operating status scores of the smart meters were discretized, thus the operating status of smart meters were determined.

KW - clustering

KW - hierarchy

KW - smart meters

KW - status evaluation

UR - https://www.scopus.com/pages/publications/85099720557

U2 - 10.1109/PHM-Shanghai49105.2020.9281002

DO - 10.1109/PHM-Shanghai49105.2020.9281002

M3 - 会议稿件

AN - SCOPUS:85099720557

T3 - 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020

BT - 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020

A2 - Guo, Wei

A2 - Li, Steven

A2 - Miao, Qiang

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020

Y2 - 16 October 2020 through 18 October 2020

ER -

You L, Dan X, Shaobo S. Evaluation Method of Smart Meters Operating Status Based on Improved TOPSIS and Cluster Analysis. In Guo W, Li S, Miao Q, editors, 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9281002. (2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020). doi: 10.1109/PHM-Shanghai49105.2020.9281002

Evaluation Method of Smart Meters Operating Status Based on Improved TOPSIS and Cluster Analysis

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this