Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation

详细信息    查看全文

• 作者：Tomas Baležentis^a ; ^{tomas@laei.lt} ; Dalia Streimikiene^b ; ^{dalia@mail.lei.lt}
• 关键词：Optimization ; Integrated assessment models ; Energy sector development scenarios ; Multi-criteria decision making ; EU energy policy priorities ; Sustainability
• 刊名：Applied Energy
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：185
• 期：part_P1
• 页码：862-871
• 全文大小：334 K
• 卷排序：185

文摘

Two advanced optimization models were applied for EU energy policy scenarios development. Several advanced MCDA were applied for energy policy scenarios ranking: WASPAS, ARAS, TOPSIS. A Monte Carlo simulation was applied for sensitivity analysis of scenarios ranking. New policy insights in terms of energy scenarios forecasting were provided based on research conducted.