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.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Yatchew,Adonis, 2003.
"Semiparametric Regression for the Applied Econometrician,"
Cambridge University Press, number 9780521812832, September.
- Yatchew,Adonis, 2003. "Semiparametric Regression for the Applied Econometrician," Cambridge Books, Cambridge University Press, number 9780521012263, September.
- 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.
- 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.
- Bessec, Marie & Fouquau, Julien, 2008.
"The non-linear link between electricity consumption and temperature in Europe: A threshold panel approach,"
Elsevier, vol. 30(5), pages 2705-2721, September.
- Marie Bessec & Julien Fouquau, 2008. "The non-linear link between electricity consumption and temperature in Europe: a threshold panel approach," Post-Print halshs-00222934, HAL.
- Julien Fouquau, 2008. "The Non-Linear Link between Electricity Consumption and Temperature in Europe: a Threshold Panel Approach," Post-Print halshs-00360443, HAL.
- Julien Fouquau, 2007. "The non-linear link between electricity consumption and temperature in Europe: a threshold panel approach," Post-Print halshs-00224319, HAL.
- Julien Fouquau, 2008. "The Non-Linear Link between Electricity Consumption and Temperature in Europe: a Threshold Panel Approach," Post-Print halshs-00360442, HAL.
- Marie Bessec & Julien FOUQUAU, 2007. "The Non-linear Link between Electricity Consumption and Temperature in Europe: a Threshold Panel Approach," LEO Working Papers / DR LEO 1636, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
- 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.
- 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.
- Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, number 8355, 12-2014.
- 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.
- 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, 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.
- repec:dau:papers:123456789/8180 is not listed on IDEAS
- 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.
- Ramesh, S. & Natarajan, Bhaskar & Bhagat, Gopika, 1988. "Peak load prediction using weather variables," Energy, Elsevier, vol. 13(8), pages 671-679.
When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:34:y:2012:i:5:p:1407-1421. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shamier, Wendy)
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.