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Application of diffusion models to forecast industrial energy demand

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  • C. H. Skiadas
  • L. Papagiannakis
  • A. Mourelatos

Abstract

Energy‐efficient technologies were first used by a few large industrial units, but as energy prices have increased the population of potential adopters has expanded. The paper tries to analyse industrial energy demand in Greece in the period 1978–1991. Energy consumption of energy‐intensive and non‐energy‐intensive industries is examined and the parameters influencing its change are considered. Price‐adjusted diffusion models are used to explain the series of energy intensity. The results of the models are useful for formulating energy policy for promoting energy‐saving technologies in Greek industry. © 1998 John Wiley & Sons, Ltd.

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  • C. H. Skiadas & L. Papagiannakis & A. Mourelatos, 1997. "Application of diffusion models to forecast industrial energy demand," Applied Stochastic Models and Data Analysis, John Wiley & Sons, vol. 13(3‐4), pages 357-367, September.
  • Handle: RePEc:wly:apsmda:v:13:y:1997:i:3-4:p:357-367
    DOI: 10.1002/(SICI)1099-0747(199709/12)13:3/43.0.CO;2-O
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    Cited by:

    1. Ambya Ambya & Toto Gunarto & Ernie Hendrawaty & Fajrin Satria Dwi Kesumah & Febryan Kusuma Wisnu, 2020. "Future Natural Gas Price Forecasting Model and Its Policy Implication," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 64-70.

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