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  • 标题:Energy Resource Allocation in Iran: A Fuzzy Multi-Objective Analysis
  • 本地全文:下载
  • 作者:Aliyeh Kazemi ; Aliyeh Kazemi ; M. Reza Mehregan
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2012
  • 卷号:41
  • 页码:334-341
  • DOI:10.1016/j.sbspro.2012.04.038
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractEnergy plays a key role in the development of nations and provides vital services and means that improve quality of life. Formulation of an energy model will help in the proper allocation of available energy resources. The objective of this paper is to allocate optimally to each end-use a certain amount of energy to be supplied by a given resource in Iran. In this research, the energy allocation process is looked at from three points of view: policy, economy and environment. In this way, energy demands of end-uses are forecasted using neural networks and fuzzy linear regression methods. The outcomes are used in a fuzzy multi-objective linear programming model, which determines the optimum allocation of energy resources of Iran from 2011 to 2020. The results provide scientific basis for the optimal allocation of energy resources in meeting the future energy demand in Iran.
  • 关键词:energy resources allocation;forecasting;multi-objective linear programming;fuzzy model;subsidies lifting;greenhouse gas
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