IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v7y1986i2p153-170.html
   My bibliography  Save this article

Estimating Hourly Electric Load with Generalized Least Square Procedures

Author

Listed:
  • Chi-Keung Woo
  • Philip Hanser
  • Nate Toyama

Abstract

Although electricity demand receives much attention in the empiri- cal literature (see Taylor (1975) and EPRI (1982b) for excellent surveys on the topic), hourly load demand analysis has only recently begun. Notable contributions are a series of studies sponsored by the Electric Power Research Institute (EPRI (1977. 1979a, 1979b, 1981a, 19816. 1982a) and Platt (1983)). These studies estimate load curve models for regions of the United States. Unfortunately, from a utility perspective, the empirical results presented in these studies are not directly applicable. Further, because the data used in these studies are not generally available at the geographic level of a utility service area, applying their methodology is problematic. This paper presents a practical method for an electric utility to produce an hourly load curve model similar in overall framework to these studies. Our procedure is innovative in that it produces statistically efficient estimates, which the above papers do not. We also demonstrate a method that uses supplementary forecasts to enhance the forecasting performance of the hourly load model.

Suggested Citation

  • Chi-Keung Woo & Philip Hanser & Nate Toyama, 1986. "Estimating Hourly Electric Load with Generalized Least Square Procedures," The Energy Journal, , vol. 7(2), pages 153-170, April.
  • Handle: RePEc:sae:enejou:v:7:y:1986:i:2:p:153-170
    DOI: 10.5547/ISSN0195-6574-EJ-Vol7-No2-11
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/ISSN0195-6574-EJ-Vol7-No2-11
    Download Restriction: no

    File URL: https://libkey.io/10.5547/ISSN0195-6574-EJ-Vol7-No2-11?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. R. Bruce Billings, 1982. "Specification of Block Rate Price Variables in Demand Models," Land Economics, University of Wisconsin Press, vol. 58(3), pages 386-394.
    2. Michael R. Veall, 1983. "Industrial Electricity Demand and the Hopkinson Rate: An Application of the Extreme Value Distribution," Bell Journal of Economics, The RAND Corporation, vol. 14(2), pages 427-440, Autumn.
    3. Harlan D. Platt, 1983. "An Integrated Approach to Electricity Demand Forecasting," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    4. Lester D. Taylor, 1975. "The Demand for Electricity: A Survey," Bell Journal of Economics, The RAND Corporation, vol. 6(1), pages 74-110, Spring.
    5. Joseph V. Terza & W. P. Welch, 1982. "Estimating Demand under Block Rates: Electricity and Water," Land Economics, University of Wisconsin Press, vol. 58(2), pages 181-188.
    Full references (including those not matched with items on IDEAS)

    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. Arbues, Fernando & Garcia-Valinas, Maria Angeles & Martinez-Espineira, Roberto, 2003. "Estimation of residential water demand: a state-of-the-art review," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 32(1), pages 81-102, March.
    2. Céline Nauges & Arnaud Reynaud, 2001. "Estimation de la demande domestique d'eau potable en France," Revue Économique, Programme National Persée, vol. 52(1), pages 167-185.
    3. Corral, Leonardo & Fisher, Anthony C. & Hatch, Nile W., 1999. "Price and Non-Price Influences on Water Conservation: An Econometric Model of Aggregate Demand under Nonlinear Budget Constraint," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt3gx868tg, Department of Agricultural & Resource Economics, UC Berkeley.
    4. Rita Martins & Adelino Fortunato, 2005. "Residential water demand under block rates: a Portuguese case study," GEMF Working Papers 2005-09, GEMF, Faculty of Economics, University of Coimbra.
    5. Jia, Jun-Jun & Guo, Jin & Wei, Chu, 2021. "Elasticities of residential electricity demand in China under increasing-block pricing constraint: New estimation using household survey data," Energy Policy, Elsevier, vol. 156(C).
    6. Chicoine, David L. & Ramaurthy, Ganapathi, 1984. "An estimate of the Demand for 'Rural Water Service Under Declining Block Rate Price Schedule'," Illinois Agricultural Economics Staff Paper 244639, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    7. Tamkinat Rauf & M. Wasif Siddiqi, 2008. "Price-setting for Residential Water: Estimation of Water Demand in Lahore," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 893-906.
    8. Costolanski, Peter & Elahi, Raihan & Iimi, Atsushi & Kitchlu, Rahul, 2013. "Impact evaluation of free-of-charge CFL bulb distribution in Ethiopia," Policy Research Working Paper Series 6383, The World Bank.
    9. Dinusha Dharmaratna & Edwyna Harris, 2012. "Estimating Residential Water Demand Using the Stone-Geary Functional Form: The Case of Sri Lanka," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2283-2299, June.
    10. Kussel, Gerhard & Frondel, Manuel, 2016. "Switching Response to Power Prices: Evidence from German Households," VfS Annual Conference 2016 (Augsburg): Demographic Change 145728, Verein für Socialpolitik / German Economic Association.
    11. Bjorner, Thomas Bue & Togeby, Mikael & Jensen, Henrik Holm, 2001. "Industrial companies' demand for electricity: evidence from a micropanel," Energy Economics, Elsevier, vol. 23(5), pages 595-617, September.
    12. Corral, Leonardo & Fisher, Anthony C. & Hatch, Nile W., 1999. "Price and Non-Price Influences on Water Conservation: An Econometric Model of Aggregate Demand under Nonlinear Budget Constraint," CUDARE Working Papers 7155, University of California, Berkeley, Department of Agricultural and Resource Economics.
    13. Patrick Point, 1993. "Partage de la ressource en eau et demande d'alimentation en eau potable," Revue Économique, Programme National Persée, vol. 44(4), pages 849-862.
    14. Roberto Martínez-Espiñeira, 2007. "An Estimation of Residential Water Demand Using Co-Integration and Error Correction Techniques," Journal of Applied Economics, Taylor & Francis Journals, vol. 10(1), pages 161-184, May.
    15. Hung, Ming-Feng & Huang, Tai-Hsin, 2015. "Dynamic demand for residential electricity in Taiwan under seasonality and increasing-block pricing," Energy Economics, Elsevier, vol. 48(C), pages 168-177.
    16. Céline Nauges & Alban Thomas, 2000. "Privately Operated Water Utilities, Municipal Price Negotiation, and Estimation of Residential Water Demand: The Case of France," Land Economics, University of Wisconsin Press, vol. 76(1), pages 68-85.
    17. Dinusha Dharmaratna & Edwyna Harris, 2010. "Estimating Residential Water Demand using the Stone-Geary Functional Form: the Case of Sri Lanka," Monash Economics Working Papers 46-10, Monash University, Department of Economics.
    18. Frerichs, Stephen & Becker, Nir & Easter, K. William, 1987. "Alternative Price Specification For Municipal Water Demands: An Empirical Test," Economic Reports 13033, University of Minnesota, Department of Applied Economics.
    19. Ming-Feng Hung & Bin-Tzong Chie, 2013. "Residential Water Use: Efficiency, Affordability, and Price Elasticity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(1), pages 275-291, January.
    20. Ming-Feng Hung & Bin-Tzong Chie & Tai-Hsin Huang, 2017. "Residential water demand and water waste in Taiwan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(2), pages 249-268, April.

    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:sae:enejou:v:7:y:1986:i:2:p:153-170. 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: SAGE Publications (email available below). General contact details of provider: .

    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.