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Residential electricity consumption and household characteristics: An econometric analysis of Danish smart-meter data

Author

Listed:
  • Andersen, F.M.
  • Gunkel, P.A.
  • Jacobsen, H.K.
  • Kitzing, L.

Abstract

Households are heterogeneous customers that consume different amounts of electricity for different purposes at different hours of the day. Understanding how the level and timing of electricity consumption is related to household characteristics is important in planning production and grid capacities and in designing policies.

Suggested Citation

  • Andersen, F.M. & Gunkel, P.A. & Jacobsen, H.K. & Kitzing, L., 2021. "Residential electricity consumption and household characteristics: An econometric analysis of Danish smart-meter data," Energy Economics, Elsevier, vol. 100(C).
    • Handle: RePEc:eee:eneeco:v:100:y:2021:i:c:s0140988321002474
    DOI: 10.1016/j.eneco.2021.105341
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    References listed on IDEAS

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    1. repec:aen:journl:ej39-4-burnett is not listed on IDEAS
    2. Kipping, A. & Trømborg, E., 2015. "Hourly electricity consumption in Norwegian households – Assessing the impacts of different heating systems," Energy, Elsevier, vol. 93(P1), pages 655-671.
    3. repec:aen:journl:ej35-2-01 is not listed on IDEAS
    4. repec:aen:journl:ej36-4-larsen is not listed on IDEAS
    5. repec:aen:journl:ej37-4-vesterberg is not listed on IDEAS
    6. Larsen, Bodil Merethe & Nesbakken, Runa, 2004. "Household electricity end-use consumption: results from econometric and engineering models," Energy Economics, Elsevier, vol. 26(2), pages 179-200, March.
    7. Baker, Keith J. & Rylatt, R. Mark, 2008. "Improving the prediction of UK domestic energy-demand using annual consumption-data," Applied Energy, Elsevier, vol. 85(6), pages 475-482, June.
    8. Michael Chesser & Jim Hanly & Damien Cassells & Nikolaos Apergis, 2019. "Household Energy Consumption: A Study of Micro Renewable Energy Systems in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 50(2), pages 265-280.
    9. F. M. Andersen & H. V. Larsen & L. Kitzing & P. E. Morthorst, 2014. "Who gains from hourly time‐of‐use retail prices on electricity? An analysis of consumption profiles for categories of Danish electricity customers," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(6), pages 582-593, November.
    10. Andersen, Frits Møller & Baldini, Mattia & Hansen, Lars Gårn & Jensen, Carsten Lynge, 2017. "Households’ hourly electricity consumption and peak demand in Denmark," Applied Energy, Elsevier, vol. 208(C), pages 607-619.
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    Cited by:

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    2. Małgorzata Sztorc, 2022. "The Implementation of the European Green Deal Strategy as a Challenge for Energy Management in the Face of the COVID-19 Pandemic," Energies, MDPI, vol. 15(7), pages 1-21, April.
    3. Anders Rhiger Hansen & Daniel Leiria & Hicham Johra & Anna Marszal-Pomianowska, 2022. "Who Produces the Peaks? Household Variation in Peak Energy Demand for Space Heating and Domestic Hot Water," Energies, MDPI, vol. 15(24), pages 1-23, December.
    4. Møller Andersen, Frits & Gunkel, Philipp Andreas & Bjerregaard, Casper & Jacobsen, Henrik Klinge, 2024. "Changes in hourly electricity consumption profiles and price elasticities in Denmark 2019–2022," Energy, Elsevier, vol. 308(C).
    5. Lyu, Xingbao & Yuan, Yi & Ning, Wenjing & Chen, Li & Tao, Wen-Quan, 2024. "Investigation and optimization of PEMFC-CHP systems based on Chinese residential thermal and electrical consumption data," Applied Energy, Elsevier, vol. 356(C).
    6. Wang, Yishi & Jin, Andrew S. & Sanders, Kelly T., 2026. "A systematic review of literature utilizing residential smart meter data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 225(C).
    7. Mari, Alessandro & Remlinger, Carl & Castello, Roberto & Obozinski, Guillaume & Quarteroni, Silvia & Heymann, Fabian & Galus, Matthias, 2025. "Real-time estimates of Swiss electricity savings using streamed smart meter data," Applied Energy, Elsevier, vol. 377(PC).
    8. Pedro Chévez & Dante Barbero, 2024. "Methodology to characterize urban areas with similar daily electricity load curves using smart meters and census information (Montevideo-Uruguay)," Energy & Environment, , vol. 35(7), pages 3483-3503, November.
    9. Qianwen Li & Zhilong Chen & Jialin Min & Mengjie Xu & Yanhong Zhan & Wenyue Zhang & Chuanwang Sun, 2024. "Hybrid transaction model for optimizing the distributed power trading market," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.

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