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Regional analysis of electricity demand growth

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  • Chern, Wen S.
  • Just, Richard E.

Abstract

This paper presents the regional electricity demand-forecasting model developed at the Oak Ridge National Laboratory. The model forecasts electricity demand and price by sector and by state. Econometric models are estimated for each of the nine census regions separately, using pooled time-series and cross-sectional (state) data. Thus, the estimated demand elasticities used in the forecasting model vary from region to region.

Suggested Citation

  • Chern, Wen S. & Just, Richard E., 1980. "Regional analysis of electricity demand growth," Energy, Elsevier, vol. 5(1), pages 35-46.
    • Handle: RePEc:eee:energy:v:5:y:1980:i:1:p:35-46
    DOI: 10.1016/0360-5442(80)90049-3
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    Cited by:

    1. Valenzuela, Carlos & Valencia, Alelhie & White, Steve & Jordan, Jeffrey A. & Cano, Stephanie & Keating, Jerome & Nagorski, John & Potter, Lloyd B., 2014. "An analysis of monthly household energy consumption among single-family residences in Texas, 2010," Energy Policy, Elsevier, vol. 69(C), pages 263-272.
    2. John T. Cuddington and Leila Dagher, 2015. "Estimating Short and Long-Run Demand Elasticities: A Primer with Energy-Sector Applications," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    3. Thomas M. Fullerton & George Novela & David Torres & Adam G. Walke, 2015. "Metropolitan Econometric Electric Utility Forecast Accuracy," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 738-745.
    4. Dagher, Leila, 2012. "Natural gas demand at the utility level: An application of dynamic elasticities," Energy Economics, Elsevier, vol. 34(4), pages 961-969.

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