Scenario analysis using Bayesian networks: A case study in energy sector
作者:
Highlights:
•
摘要
This paper provides a general overview of creating scenarios for energy policies using Bayesian Network (BN) models. BN is a useful tool to analyze the complex structures, which allows observation of the current structure and basic consequences of any strategic change. This research will propose a decision model that will support the researchers in forecasting and scenario analysis fields. The proposed model will be implemented in a case study for Turkey. The choice of the case is based on complexities of a renewable energy resource rich country. Turkey is a heavy energy importer discussing new investments. Domestic resources could be evaluated under different scenarios aiming the sustainability. Achievements of this study will open a new vision for the decision makers in energy sector.
论文关键词:Bayesian networks,Causal maps,Scenario analysis,Energy investments
论文评审过程:Received 28 July 2009, Revised 20 January 2010, Accepted 23 January 2010, Available online 1 February 2010.
论文官网地址:https://doi.org/10.1016/j.knosys.2010.01.009