Global warming and electricity demand in the rapidly growing city of Delhi: A semi-parametric variable coefficient approach
This paper estimates the climate sensitivity of electricity demand in Delhi using daily data on electricity demand and apparent temperature for the period 2000–09. The study adopts a semi-parametric variable coefficient model in order to investigate the impact of climatic factors on electricity demand. As evident from previous studies, electricity demand is a U-shaped function of temperature. We find the rising part of the temperature–electricity curve to become more pronounced over time implying an increase in cooling demand per unit increase in summer temperatures. The study therefore predicts the adverse effects of climate change on electricity demand to be asymmetrically distributed in different seasons in the future, resulting in a serious disequilibrium in the hot months.
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- repec:cup:cbooks:9780521812832 is not listed on IDEAS
- 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.
- Sailor, D.J & Pavlova, A.A, 2003. "Air conditioning market saturation and long-term response of residential cooling energy demand to climate change," Energy, Elsevier, vol. 28(9), pages 941-951.
- Wadud, Zia & Noland, Robert B. & Graham, Daniel J., 2010. "A semiparametric model of household gasoline demand," Energy Economics, Elsevier, vol. 32(1), pages 93-101, January.
- Sailor, David J. & Muñoz, J.Ricardo, 1997. "Sensitivity of electricity and natural gas consumption to climate in the U.S.A.—Methodology and results for eight states," Energy, Elsevier, vol. 22(10), pages 987-998.
- 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 149-62, February.
- Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
- Marie Bessec & Julien FOUQUAU, 2007.
"The Non-linear Link between Electricity Consumption and Temperature in Europe: a Threshold Panel Approach,"
1636, Orleans Economic Laboratorys, University of Orleans.
- 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.
- Fouquau, Julien & Bessec, Marie, 2008. "The Non-Linear Link between Electricity Consumption and Temperature in Europe : A Threshold Panel Approach," Economics Papers from University Paris Dauphine 123456789/8180, Paris Dauphine University.
- Sailor, David J, 2001. "Relating residential and commercial sector electricity loads to climate—evaluating state level sensitivities and vulnerabilities," Energy, Elsevier, vol. 26(7), pages 645-657.
- 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.
- 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.
- repec:cup:cbooks:9780521012263 is not listed on IDEAS
- Ramesh, S. & Natarajan, Bhaskar & Bhagat, Gopika, 1988. "Peak load prediction using weather variables," Energy, Elsevier, vol. 13(8), pages 671-679.
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