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Demand for electricity and weather conditions: Nonparametric analysis

Author

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  • 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
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    References listed on IDEAS

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    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. 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.
    14. 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.
    15. 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.
    16. Woods, James & Fuller, Cody, 2014. "Estimating base temperatures in econometric models that include degree days," Energy Economics, Elsevier, vol. 45(C), pages 166-171.
    17. 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.
    18. 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.
    19. repec:rre:publsh:v:33:y:2003:i:2:p:206-28 is not listed on IDEAS
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. Solomon M. Hsiang, 2016. "Climate Econometrics," NBER Working Papers 22181, National Bureau of Economic Research, Inc.
    26. 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.
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    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.

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    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

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