IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0317.html
   My bibliography  Save this article

Demand for electricity and weather conditions: Nonparametric analysis

Author

Listed:
  • Ozhegov, Evgeniy

    (National Research University Higher School of Economics, Perm, Russian Federation)

  • Popova, Evgeniya

    (National Research University Higher School of Economics, Perm, Russian Federation;)

Abstract

In this paper we study the effect of weather conditions on electricity consumption in Perm region. We employ the data on consumption, air temperature, humidity and wind power for each 3 hours in 2011–2015. Using nonparametric two-step procedure, we revealed non-linear relation between electricity and temperature. We also revealed the different shape of relation for periods with switched on and switched off central heating.

Suggested Citation

  • Ozhegov, Evgeniy & Popova, Evgeniya, 2017. "Demand for electricity and weather conditions: Nonparametric analysis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 55-73.
    • Handle: RePEc:ris:apltrx:0317
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2017_46_055-073.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Olivier Deschênes & Michael Greenstone, 2011. "Climate Change, Mortality, and Adaptation: Evidence from Annual Fluctuations in Weather in the US," American Economic Journal: Applied Economics, American Economic Association, vol. 3(4), pages 152-185, October.
    2. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
    3. Lee, Chien-Chiang & Chiu, Yi-Bin, 2011. "Electricity demand elasticities and temperature: Evidence from panel smooth transition regression with instrumental variable approach," Energy Economics, Elsevier, vol. 33(5), pages 896-902, September.
    4. Alexander Filatov & Evgeny Lisin & Evgenya Smirnova, 2015. "The Day-ahead Energy Market Forecasting in Russian Federation: a Case Study of Siberia," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 11(2), pages 125-135.
    5. Bessec, Marie & Fouquau, Julien, 2008. "The non-linear link between electricity consumption and temperature in Europe: A threshold panel approach," Energy Economics, Elsevier, vol. 30(5), pages 2705-2721, September.
    6. Maximilian Auffhammer & Anin Aroonruengsawat, 2011. "Simulating the impacts of climate change, prices and population on California’s residential electricity consumption," Climatic Change, Springer, vol. 109(1), pages 191-210, December.
    7. Auffhammer, Maximilian & Mansur, Erin T., 2014. "Measuring climatic impacts on energy consumption: A review of the empirical literature," Energy Economics, Elsevier, vol. 46(C), pages 522-530.
    8. Pardo, Angel & Meneu, Vicente & Valor, Enric, 2002. "Temperature and seasonality influences on Spanish electricity load," Energy Economics, Elsevier, vol. 24(1), pages 55-70, January.
    9. repec:dau:papers:123456789/8180 is not listed on IDEAS
    10. Solomon Hsiang, 2016. "Climate Econometrics," Annual Review of Resource Economics, Annual Reviews, vol. 8(1), pages 43-75, October.
    11. Moral-Carcedo, Julian & Vicens-Otero, Jose, 2005. "Modelling the non-linear response of Spanish electricity demand to temperature variations," Energy Economics, Elsevier, vol. 27(3), pages 477-494, May.
    12. Bentzen, Jan & Engsted, Tom, 1993. "Short- and long-run elasticities in energy demand : A cointegration approach," Energy Economics, Elsevier, vol. 15(1), pages 9-16, January.
    13. Chien-Chiang Lee & Jun-De Lee, 2010. "A Panel Data Analysis of the Demand for Total Energy and Electricity in OECD Countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-24.
    14. OrtizBeviá, M.J. & RuizdeElvira, A. & Alvarez-García, F.J., 2014. "The influence of meteorological variability on the mid-term evolution of the electricity load," Energy, Elsevier, vol. 76(C), pages 850-856.
    15. Cancelo, José Ramón & Espasa, Antoni & Grafe, Rosmarie, 2008. "Forecasting the electricity load from one day to one week ahead for the Spanish system operator," International Journal of Forecasting, Elsevier, vol. 24(4), pages 588-602.
    16. Al-Iriani, Mahmoud A., 2005. "Climate-related electricity demand-side management in oil-exporting countries--the case of the United Arab Emirates," Energy Policy, Elsevier, vol. 33(18), pages 2350-2360, December.
    17. Woods, James & Fuller, Cody, 2014. "Estimating base temperatures in econometric models that include degree days," Energy Economics, Elsevier, vol. 45(C), pages 166-171.
    18. Millner, Antony & McDermott, Thomas K. J., 2016. "Model confirmation in climate economics," LSE Research Online Documents on Economics 67122, London School of Economics and Political Science, LSE Library.
    19. Hekkenberg, M. & Moll, H.C. & Uiterkamp, A.J.M. Schoot, 2009. "Dynamic temperature dependence patterns in future energy demand models in the context of climate change," Energy, Elsevier, vol. 34(11), pages 1797-1806.
    20. repec:rre:publsh:v:33:y:2003:i:2:p:206-28 is not listed on IDEAS
    21. Mirasgedis, S. & Sarafidis, Y. & Georgopoulou, E. & Lalas, D.P. & Moschovits, M. & Karagiannis, F. & Papakonstantinou, D., 2006. "Models for mid-term electricity demand forecasting incorporating weather influences," Energy, Elsevier, vol. 31(2), pages 208-227.
    22. Henley, Andrew & Peirson, John, 1997. "Non-linearities in Electricity Demand and Temperature: Parametric versus Non-parametric Methods," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(1), pages 149-162, February.
    23. Burke, M. & Craxton, M. & Kolstad, C.D. & Onda, C. & Allcott, H. & Baker, E. & Barrage, L. & Carson, R. & Gillingham, K. & Graff-Zivin, J. & Greenstone, M. & Hallegatte, S. & Hanemann, W.M. & Heal, G., 2016. "Opportunities for advances in climate change economics," ISU General Staff Papers 3565, Iowa State University, Department of Economics.
    24. Burke, M & Craxton, M & Kolstad, CD & Onda, C & Allcott, H & Baker, E & Barrage, L & Carson, R & Gillingham, K & Graf-Zivin, J & Greenstone, M & Hallegatte, S & Hanemann, WM & Heal, G & Hsiang, S & Jo, 2016. "Opportunities for advances in climate change economics," University of California at Santa Barbara, Recent Works in Economics qt4tc5d9pb, Department of Economics, UC Santa Barbara.
    25. Apadula, Francesco & Bassini, Alessandra & Elli, Alberto & Scapin, Simone, 2012. "Relationships between meteorological variables and monthly electricity demand," Applied Energy, Elsevier, vol. 98(C), pages 346-356.
    26. Solomon M. Hsiang, 2016. "Climate Econometrics," NBER Working Papers 22181, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gaivoronskaia, Elizaveta, 2020. "Electricity demand elasticity and regional effects: Spatial econometric approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 58, pages 76-95.
    2. Lozinskaia, Agata & Redkina, Anastasiia & Shenkman, Evgeniia, 2020. "Electricity consumption forecasting for integrated power system with seasonal patterns," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 60, pages 5-25.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Jianglong & Yang, Lisha & Long, Houyin, 2018. "Climatic impacts on energy consumption: Intensive and extensive margins," Energy Economics, Elsevier, vol. 71(C), pages 332-343.
    2. Du, Kerui & Yu, Ying & Wei, Chu, 2020. "Climatic impact on China's residential electricity consumption: Does the income level matter?," China Economic Review, Elsevier, vol. 63(C).
    3. Marilyn Brown & Matt Cox & Ben Staver & Paul Baer, 2016. "Modeling climate-driven changes in U.S. buildings energy demand," Climatic Change, Springer, vol. 134(1), pages 29-44, January.
    4. Hu, Wenxuan & Scholz, Yvonne & Yeligeti, Madhura & Deng, Ying & Jochem, Patrick, 2024. "Future electricity demand for Europe: Unraveling the dynamics of the Temperature Response Function," Applied Energy, Elsevier, vol. 368(C).
    5. Wang, Yaoping & Bielicki, Jeffrey M., 2018. "Acclimation and the response of hourly electricity loads to meteorological variables," Energy, Elsevier, vol. 142(C), pages 473-485.
    6. Marilyn A. Brown & Matt Cox & Ben Staver & Paul Baer, 2016. "Modeling climate-driven changes in U.S. buildings energy demand," Climatic Change, Springer, vol. 134(1), pages 29-44, January.
    7. Lee, Chien-Chiang & Chiu, Yi-Bin, 2011. "Electricity demand elasticities and temperature: Evidence from panel smooth transition regression with instrumental variable approach," Energy Economics, Elsevier, vol. 33(5), pages 896-902, September.
    8. Chang, Jun-Jie & Mi, Zhifu & Wei, Yi-Ming, 2023. "Temperature and GDP: A review of climate econometrics analysis," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 383-392.
    9. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," Working Papers hal-03443464, HAL.
    10. Kalkuhl, Matthias & Wenz, Leonie, 2020. "The impact of climate conditions on economic production. Evidence from a global panel of regions," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    11. Harish, Santosh & Singh, Nishmeet & Tongia, Rahul, 2020. "Impact of temperature on electricity demand: Evidence from Delhi and Indian states," Energy Policy, Elsevier, vol. 140(C).
    12. Emediegwu, Lotanna E. & Wossink, Ada & Hall, Alastair, 2022. "The impacts of climate change on agriculture in sub-Saharan Africa: A spatial panel data approach," World Development, Elsevier, vol. 158(C).
    13. Cuong Viet Nguyen & Manh‐Hung Nguyen & Toan Truong Nguyen, 2023. "The impact of cold waves and heat waves on mortality: Evidence from a lower middle‐income country," Health Economics, John Wiley & Sons, Ltd., vol. 32(6), pages 1220-1243, June.
    14. Richard S.J. Tol, 2020. "The Economic Impact of Weather and Climate," Video Library 2094, Department of Economics, University of Sussex Business School.
    15. Doremus, Jacqueline M. & Jacqz, Irene & Johnston, Sarah, 2022. "Sweating the energy bill: Extreme weather, poor households, and the energy spending gap," Journal of Environmental Economics and Management, Elsevier, vol. 112(C).
    16. Garg, Teevrat & Gibson, Matthew & Sun, Fanglin, 2020. "Extreme temperatures and time use in China," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 309-324.
    17. Pierre Mérel & Matthew Gammans, 2021. "Climate Econometrics: Can the Panel Approach Account for Long‐Run Adaptation?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1207-1238, August.
    18. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2020. "Climate change and green transitions in an agent-based integrated assessment model," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    19. Auffhammer, Maximilian, 2022. "Climate Adaptive Response Estimation: Short and long run impacts of climate change on residential electricity and natural gas consumption," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
    20. Benedikt Janzen, 2022. "Temperature and Mental Health: Evidence from Helpline Calls," Papers 2207.04992, arXiv.org, revised Nov 2022.

    More about this item

    Keywords

    electricity consumption; outside weather; kernel estimation;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:apltrx:0317. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.