Optimizing Generation Mix using Markovitz mean-Variance Theory

被引：0
|
作者：
Unni, Arjun C. [1 ]
Ongsakul, Weerakorn [1 ]
Nivedha, Raja R. [1 ]
Tiwari, Shubham [1 ]
机构：
[1] Asian Inst Technol, Dept Energy Environm & Climate Change, Pathum Thani, Thailand
来源：
PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE AND UTILITY EXHIBITION ON GREEN ENERGY FOR SUSTAINABLE DEVELOPMENT (ICUE 2018) | 2018年
关键词：
Energy Portfolio; Markovitz mean variance theory; RENEWABLE ENERGY; OPTIMIZATION; PORTFOLIO;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The energy matrix of every country in the world is more and more occupied by the Renewable Energy Sources(RES). Since the power output from renewable energy sources are depended on the weather conditions it is difficult to depend on a single source for a reliable power delivery. Wind and solar data of three cities in India is collected and an optimal portfolio is developed using modern portfolio theory.
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页数：6
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