Coping with Uncertainties in Endogenous Technological Change Models

被引:0
|
作者
Ma, Tieju [1 ]
Nakamori, Yoshiteru [1 ]
机构
[1] Japan Adv Inst Sci & Technol, Sch Knowledge Sci, Nomi, Ishikawa, Japan
关键词
endogenous technological change model; uncertainty; risk-constrained optimization;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To date, optimization models of uncertain endogenous technological change models commonly add cost resulting from overestimating technological learning rates into an objective function with a subjective risk factor. This paper argues that applying risk-constrained cost minimization to uncertain endogenous technological change models could be more practicable for decision-making support since it is more explicit and tangible to set an acceptable extra cost than to set a pure subjective risk factor value. This paper applies the risk-constrained method to analyze a simplified energy system with three technologies.
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页码:844 / 849
页数:6
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