Bootstrapping the Probability Distribution of Peak Electricity Demand
AbstractDemand For effective capacity planning, an electric utility requires an estimate of the probability distribution of future maximum demand, rather than simply a point prediction of expected peak. This paper proposes a method of obtaining this using the bootstrapping technique of B. Efron_(1979) and this is applied to the peak demand of an actual utility, Ontario Hydro. While the technique is constructed from the standard procedure of forecasting a future variable using regression coefficients and known values for the right-hand side variables, it is modified to allow for uncertainty in these independent variable forecasts as well. Copyright 1987 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.
Download InfoIf 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.
Bibliographic InfoArticle provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review.
Volume (Year): 28 (1987)
Issue (Month): 1 (February)
Contact details of provider:
Postal: 160 McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104-6297
Phone: (215) 898-8487
Fax: (215) 573-2057
Web page: http://www.econ.upenn.edu/ier
More information through EDIRC
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Tonsor, Glynn T. & Dhuyvetter, Kevin C. & Mintert, James R., 2004. "Improving Cattle Basis Forecasting," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(02), August.
- Li, Hongyi & Maddala, G. S., 1997.
"Bootstrapping cointegrating regressions,"
Journal of Econometrics,
Elsevier, vol. 80(2), pages 297-318, October.
- Tom Doan, . "RATS program to demonstrate bootstrapping with cointegration," Statistical Software Components RTZ00021, Boston College Department of Economics.
- Grigoletto, Matteo, 1998. "Bootstrap prediction intervals for autoregressions: some alternatives," International Journal of Forecasting, Elsevier, vol. 14(4), pages 447-456, December.
- Allen, P. Geoffrey & Morzuch, Bernard J., 1995. "Comparing probability forecasts derived from theoretical distributions," International Journal of Forecasting, Elsevier, vol. 11(1), pages 147-157, March.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or ().
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.