Decomposition of air conditioning electricity consumption considering the dependence between the temperature and electricity consumption.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 29 02 2024
accepted: 25 07 2024
medline: 31 8 2024
pubmed: 31 8 2024
entrez: 29 8 2024
Statut: epublish

Résumé

With the continuous increase in air conditioning installations, the proportion of air conditioning electricity consumption to total electricity consumption is growing. Research on the decomposition of air conditioning electricity consumption is of great significance for assessing electricity usage, formulating electricity scheduling plans, and ensuring the stable operation of the power grid. Currently, typical day selection strategies for the decomposition of air conditioning electricity consumption often overlook the corresponding relationship between typical daily electricity consumption and temperature. Therefore, this paper proposes an air conditioning electricity consumption decomposition method based on the dependence between temperature and electricity consumption. This method filters typical days based on Copula-based dependence indicators and equiprobable ellipses, determines the baseline electricity consumption curve through model selection voting, and ultimately calculates the air conditioning electricity consumption. The effectiveness of the proposed method is validated by applying it to electricity consumption data in Fuzhou from 2019 to 2022.

Identifiants

pubmed: 39208066
doi: 10.1371/journal.pone.0308542
pii: PONE-D-24-08213
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0308542

Informations de copyright

Copyright: © 2024 Xun et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Chao Xun (C)

State Grid Fujian Electric Power Co., Ltd., Fuzhou, China.

Lin Liu (L)

Institute of Economic and Technology, State Grid Fujian Electric Power Co., Ltd., Fuzhou, China.

Chang Wang (C)

Department of Electronic and Communication Engineering, North China Electric Power University, Baoding, China.

Junhong Ni (J)

Department of Electronic and Communication Engineering, North China Electric Power University, Baoding, China.

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