DocumentCode :
693144
Title :
Methodology for cost benefit analysis of smart grid used in decision support
Author :
Qian Yang ; Loi Lei Lai ; Chun Sing Lai
Author_Institution :
State Grid Energy Res. Inst., Beijing, China
Volume :
01
fYear :
2013
fDate :
14-17 July 2013
Firstpage :
104
Lastpage :
107
Abstract :
This paper studies the cost benefit analysis (CBA) methods that can improve the decision support capability of smart grid deployment. Critical review based on various methodologies adopted worldwide has been carried out and detailed analysis was conducted. The finding demonstrates as there are no agreed guidelines for CBA. Also in real-life situation, due to large amount of data and data quality could be low, it is suggested developing CBA methodology based upon intelligent techniques such as neural and evolutionary computing may have a good potential for the future.
Keywords :
costing; decision support systems; power engineering computing; smart power grids; CBA methodology; cost benefit analysis; data quality; decision support capability; evolutionary computing; intelligent techniques; neural computing; smart grid deployment; Abstracts; Automation; Electricity; Cost-benefit Analysis; Decision Support; Smart Grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
Type :
conf
DOI :
10.1109/ICMLC.2013.6890452
Filename :
6890452
Link To Document :
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