@inproceedings{255d62118f1a4948ae8217d6be9ad124,
title = "A probabilistic formulation for cost / benefit analysis in power distribution engineering",
abstract = "Cost to benefit analysis in electric power engineering is revisited by including uncertainty in both the cost and benefit models. The uncertainty in costs and benefits are modeled in probabilistic terms with assumed probability density functions. The result is a stochastic calculation of such indicators as payback time, expected monetized benefits, and conditional expectations of these indicators. The method is applied to power distribution system cost to benefit analysis.",
keywords = "Cost to benefit analysis, Engineering economics, Investment, Payback period, Power distribution engineering, Probability, Ratio distribution",
author = "Heydt, {G. T.} and A. Dinakar",
note = "Funding Information: The authors acknowledge support of the National Science Foundation Engineering Research Center, the Future Renewable Electric Energy Distribution Management center, under grant EEC08212121. Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 ; Conference date: 16-07-2017 Through 20-07-2017",
year = "2018",
month = jan,
day = "29",
doi = "10.1109/PESGM.2017.8274343",
language = "English (US)",
series = "IEEE Power and Energy Society General Meeting",
publisher = "IEEE Computer Society",
pages = "1--5",
booktitle = "2017 IEEE Power and Energy Society General Meeting, PESGM 2017",
}