Characterization of Household Electricity Consumption in Uruguay

被引:0
|
作者
Llagueiro, Pablo [1 ]
Porteiro, Rodrigo [2 ]
Nesmachnow, Sergio [1 ]
机构
[1] Univ Republica, Fac Ingn, Montevideo, Uruguay
[2] UTE, Montevideo, Uruguay
来源
关键词
residential electricity consumption; smart grid; computational intelligence;
D O I
10.1007/978-3-031-52517-9_3
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This article presents a study to characterize the electricity consumption in residential buildings in Uruguay. Understanding residential electricity consumption is a relevant concept to identify factors that influence electricity usage, and allows developing specific and custom energy efficiency policies. The study focuses on two home appliances: air conditioner and water heater, which represents a large share of the electricity consumption of Uruguayan households. A data-analysis approach is applied to process several data sources and compute relevant indicators. Statistical methods are applied to study the relationships between different relevant variables, including appliance ownership, average income of households, and temperature, and the residential electricity consumption. A specific application of the data analysis is presented: a regression model to determine the consumption patterns of water heaters in households. Results show that the proposed approach is able to compute good values for precision, recall and F1-score and an excellent value for accuracy (0.92). These results are very promising for conducting an economic analysis that takes into account the investment cost of remotely controlling water heaters and the benefits derived from managing their demand.
引用
收藏
页码:33 / 47
页数:15
相关论文
共 50 条
  • [41] Explaining differences in household electricity saving rates - A panel data analysis on household attributes and electricity consumption tendencies-
    Nishio K.-I.
    Ofuji K.
    Nishio, Ken-Ichiro (nishio@criepi.denken.or.jp), 1600, Institute of Electrical Engineers of Japan (136): : 284 - 290
  • [42] Disentangling household and individual actors in explaining private electricity consumption
    Seebauer, Sebastian
    Wolf, Angelika
    ENERGY EFFICIENCY, 2017, 10 (01) : 1 - 20
  • [43] Smart meters and household electricity consumption: A case study in Ireland
    Rausser, Gordon
    Strielkowski, Wadim
    Streimikiene, Dalia
    ENERGY & ENVIRONMENT, 2018, 29 (01) : 131 - 146
  • [44] Feedback on household electricity consumption: learning and social influence processes
    Gronhoj, Alice
    Thogersen, John
    INTERNATIONAL JOURNAL OF CONSUMER STUDIES, 2011, 35 (02) : 138 - 145
  • [45] Simulation of household electricity consumption by using functional data analysis
    Mallor, Fermin
    Moler, Jose A.
    Urmeneta, Henar
    JOURNAL OF SIMULATION, 2018, 12 (04) : 271 - 282
  • [46] Household electricity consumption efficiency and poverty: Evidence from Ghana
    Twerefou, Daniel Kwabena
    Abeney, Jacob Opantu
    Toman, Michael A.
    Baffour, Priscilla Twumasi
    Turkson, Festus Ebo
    ENERGY EFFICIENCY, 2025, 18 (03)
  • [47] TIME-SERIES BASED HOUSEHOLD ELECTRICITY CONSUMPTION FORECASTING
    Philips, Anita
    Jayakumar, J.
    2023 11TH INTERNATIONAL CONFERENCE ON SMART GRID, ICSMARTGRID, 2023,
  • [48] Effects of building types and materials on household electricity consumption in Indonesia
    Lee, Chui Ying
    Kaneko, Shinji
    Sharifi, Ayyoob
    SUSTAINABLE CITIES AND SOCIETY, 2020, 54 (54)
  • [49] An Analysis on the Effect of Consumers Behaviour Towards Household Electricity Consumption
    Aris, Hazleen
    Dollah, Roimah
    Jamalludin, Khairul-Nisa
    2018 IEEE CONFERENCE ON BIG DATA AND ANALYTICS (ICBDA), 2018, : 16 - 22
  • [50] Modelling of household electricity consumption with the aid of computational intelligence methods
    Karatzas, Kostas
    Katsifarakis, Nikos
    ADVANCES IN BUILDING ENERGY RESEARCH, 2018, 12 (01) : 84 - 96