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Empirical Analysis of the Impact of COVID-19 Social Distancing on Residential Electricity Consumption Based on Demographic Characteristics and Load Shape

Author

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  • Minseok Jang

    (The School of Electrical Engineering, Korea University, Seoul 02841, Korea)

  • Hyun Cheol Jeong

    (The School of Electrical Engineering, Korea University, Seoul 02841, Korea)

  • Taegon Kim

    (The School of Electrical Engineering, Korea University, Seoul 02841, Korea)

  • Dong Hee Suh

    (The School of Electrical Engineering, Korea University, Seoul 02841, Korea)

  • Sung-Kwan Joo

    (The School of Electrical Engineering, Korea University, Seoul 02841, Korea)

Abstract

Since January 2020, the COVID-19 pandemic has been impacting various aspects of people’s daily lives and the economy. The first case of COVID-19 in South Korea was identified on 20 January 2020. The Korean government implemented the first social distancing measures in the first week of March 2020. As a result, energy consumption in the industrial, commercial and educational sectors decreased. On the other hand, residential energy consumption increased as telecommuting work and remote online classes were encouraged. However, the impact of social distancing on residential energy consumption in Korea has not been systematically analyzed. This study attempts to analyze the impact of social distancing implemented as a result of COVID-19 on residential energy consumption with time-varying reproduction numbers of COVID-19. A two-way fixed effect model and demographic characteristics are used to account for the heterogeneity. The changes in household energy consumption by load shape group are also analyzed with the household energy consumption model. There some are key results of COVID-19 impact on household energy consumption. Based on the hourly smart meter data, an average increase of 0.3% in the hourly average energy consumption is caused by a unit increase in the time-varying reproduction number of COVID-19. For each income, mid-income groups show less impact on energy consumption compared to both low-income and high-income groups. In each family member, as the number of family members increases, the change in electricity consumption affected by social distancing tends to decrease. For area groups, large area consumers increase household energy consumption more than other area groups. Lastly, The COVID-19 impact on each load shape is influenced by their energy consumption patterns.

Suggested Citation

  • Minseok Jang & Hyun Cheol Jeong & Taegon Kim & Dong Hee Suh & Sung-Kwan Joo, 2021. "Empirical Analysis of the Impact of COVID-19 Social Distancing on Residential Electricity Consumption Based on Demographic Characteristics and Load Shape," Energies, MDPI, vol. 14(22), pages 1-15, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7523-:d:676699
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    References listed on IDEAS

    as
    1. Nair, Gireesh & Gustavsson, Leif & Mahapatra, Krushna, 2010. "Factors influencing energy efficiency investments in existing Swedish residential buildings," Energy Policy, Elsevier, vol. 38(6), pages 2956-2963, June.
    2. Jing Liang, Pengfei Liu, Yueming Qiu, Yi David Wang, and Bo Xing, 2020. "Time-of-Use Electricity Pricing and Residential Low-carbon Energy Technology Adoption," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-38.
    3. Jiyong Eom & Minwoo Hyun & Jaewoong Lee & Hyoseop Lee, 2020. "Increase in household energy consumption due to ambient air pollution," Nature Energy, Nature, vol. 5(12), pages 976-984, December.
    4. Kentaka Aruga & Md. Monirul Islam & Arifa Jannat, 2020. "Effects of COVID-19 on Indian Energy Consumption," Sustainability, MDPI, vol. 12(14), pages 1-15, July.
    5. Stephen Snow & Richard Bean & Mashhuda Glencross & Neil Horrocks, 2020. "Drivers behind Residential Electricity Demand Fluctuations Due to COVID-19 Restrictions," Energies, MDPI, vol. 13(21), pages 1-20, November.
    6. Minseok Jang & Hyun-Cheol Jeong & Taegon Kim & Sung-Kwan Joo, 2021. "Load Profile-Based Residential Customer Segmentation for Analyzing Customer Preferred Time-of-Use (TOU) Tariffs," Energies, MDPI, vol. 14(19), pages 1-12, September.
    7. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    8. Rouleau, Jean & Gosselin, Louis, 2021. "Impacts of the COVID-19 lockdown on energy consumption in a Canadian social housing building," Applied Energy, Elsevier, vol. 287(C).
    9. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
    10. Tran, Duc-Hoc & Luong, Duc-Long & Chou, Jui-Sheng, 2020. "Nature-inspired metaheuristic ensemble model for forecasting energy consumption in residential buildings," Energy, Elsevier, vol. 191(C).
    11. Pan He & Jing Liang & Yueming (Lucy) Qiu & Qingran Li & Bo Xing, 2020. "Increase in domestic electricity consumption from particulate air pollution," Nature Energy, Nature, vol. 5(12), pages 985-995, December.
    12. Yating Li & William A. Pizer & Libo Wu, 2019. "Climate change and residential electricity consumption in the Yangtze River Delta, China," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(2), pages 472-477, January.
    13. Lusis, Peter & Khalilpour, Kaveh Rajab & Andrew, Lachlan & Liebman, Ariel, 2017. "Short-term residential load forecasting: Impact of calendar effects and forecast granularity," Applied Energy, Elsevier, vol. 205(C), pages 654-669.
    14. Shasha Liu & Gaowen Kong & Dongmin Kong, 2020. "Effects of the COVID-19 on Air Quality: Human Mobility, Spillover Effects, and City Connections," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 635-653, August.
    15. Sławomir Bielecki & Tadeusz Skoczkowski & Lidia Sobczak & Janusz Buchoski & Łukasz Maciąg & Piotr Dukat, 2021. "Impact of the Lockdown during the COVID-19 Pandemic on Electricity Use by Residential Users," Energies, MDPI, vol. 14(4), pages 1-32, February.
    16. Kang, Hyuna & An, Jongbaek & Kim, Hakpyeong & Ji, Changyoon & Hong, Taehoon & Lee, Seunghye, 2021. "Changes in energy consumption according to building use type under COVID-19 pandemic in South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
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