University of Bahrain
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Enhancement, evaluation and implementation of a load forecasting method

Show simple item record Qader, M.R. Qamber, I. 2018-07-26T06:35:57Z 2018-07-26T06:35:57Z 2012
dc.identifier.issn 1815-3852
dc.description.abstract The effect of load forecast uncertainty may be well-defined if some of the spinning reserve capacity is needed to supply the load in excess of the amount predicted and, thereby the spinning reserve is reduced. The model was developed for load estimation of Kingdom of Bahrain. The calculation method involves a Monte Carlo technique for the simulation of the load. The model enables the predication of the load against the time during years, where each year is divided into 52 weeks. The forecasting model, computes minimum mean square error (MMSE) forecasts of the conditional mean of reserve power and conditional standard deviation of the innovations in each period over a userspecified forecast possibility. To do this, it views the conditional mean and variance models from a linear filtering perspective, and applies iterated conditional expectations to the recursive equations, one forecast period at a time. The results are obtained and discussed. 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 *
dc.subject Monte Carlo
dc.subject Load forecast
dc.subject MMSE
dc.subject Kingdom of Bahrain
dc.title Enhancement, evaluation and implementation of a load forecasting method en_US
dc.type Article en_US
dc.source.title Arab Journal of Basic and Applied Sciences
dc.abbreviatedsourcetitle AJBAS

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