Application of diffusion models to forecast industrial energy demand

被引：0
|
作者：
Skiadas, CH [1 ]
Papagiannakis, L
Mourelatos, A
机构：
[1] Tech Univ Crete, Dept Prod Engn & Management, Chania 73100, Crete, Greece
[2] Natl Tech Univ Athens, GR-15780 Athens, Greece
来源：
APPLIED STOCHASTIC MODELS AND DATA ANALYSIS | 1997年 / 13卷 / 3-4期
关键词：
diffusion models; price-adjusted logistic functions; energy policy;
D O I：
暂无
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
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. (C) 1998 John Wiley & Sons, Ltd.
引用
收藏
页码：357 / 367
页数：11
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