University of Bahrain
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Long – Term Load Forecasting for the Kingdom of Bahrain Using Monte Carlo Method

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dc.contributor.author Qader, M R.
dc.contributor.author Qamber, Isa. S.
dc.date.accessioned 2018-07-25T10:52:14Z
dc.date.available 2018-07-25T10:52:14Z
dc.date.issued 2010
dc.identifier.issn 1815-3852
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/787
dc.description.abstract The present study applies Monte Carlo method to electric power network of Kingdom of the Bahrain over a period of five years taking into consideration the maximum electrical loads. The basic variables of the Monte Carlo method are presented and discussed from the standard deviation and reserve point of view. The maximum loads and simulation results were compared on a weekly and yearly basis. A comparison of the minimum mean square error has been calculated and plotted. The results show similarity between the forecasted data and simulation results en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/ *
dc.subject Monte Carlo
dc.subject Mean Square Error
dc.subject LoadMonte Carlo
dc.subject Mean Square Error
dc.subject Load
dc.title Long – Term Load Forecasting for the Kingdom of Bahrain Using Monte Carlo Method en_US
dc.type Article en_US
dc.identifier.doi http://dx.doi.org/10.1016/j.jaubas.2010.12.004
dc.source.title Arab Journal of Basic and Applied Sciences
dc.abbreviatedsourcetitle AJBAS


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