Peak Load Modeling for Kingdom of Bahrain


Deriving some models to estimate the electrical demand for future for the Kingdom of Bahrain is carried out in the present study. The ambient temperature is taken into the account as well as the time factor (Year). The model was developed in away describing the electric power demand during a summer period. The estimated values of the maximum electrical load is obtained and evaluated on actual peak load data of the Kingdom of Bahrain.

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I. Qamber, "Peak Load Modeling for Kingdom of Bahrain," Journal of Software Engineering and Applications, Vol. 5 No. 12B, 2012, pp. 46-49. doi: 10.4236/jsea.2012.512B010.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] M. Peik-Herfeh, H., Seifi and M.K. Sheikh-El-Eslami, “Decision making of a virtual power plant under uncer-tainties for bidding in a day-ahead market using point estimate method”, International Journal of Electrical Power and Energy Systems, Vol. 44, No. 1, 2013, pp. 88-98.
[2] A. F. Orlando, M. P. Málaga, M.M. Huama-ni, “Methodology for generating electric load profiles for sizing an electric energy generation system”, Energy and Buildings, Vol. 52, 2012, pp. 161-167.
[3] J. K. Kal-dellis, M. Kapsali, and D. Tiligadas, “Presentation of a stochastic model estimating the wind energy contribution in remote island electrical networks”, Applied Energy, Vol. 97, 2012, pp. 68-76.
[4] T. Niknam, F. Golesta-neh and A. Malekpour, “Probabilistic energy and opera-tion management of a microgrid containing wind/photovoltaic/fuel cell generation and energy sto-rage devices based on point estimate method and self-adaptive gravitational search algorithm”, Energy, Vol. 43, No. 1, 2012, pp. 427-437.
[5] N. Tawalbeh and R. El-Khazali, “Peak load evaluation based on the accumulated annual energy”, Proceedings of the 16th IEEE Mediterranean Electrotechnical Conference, ME-LECON 2012;Yasmine Hammamet; 25-28 March 2012, Article number6196492, pp. 544-547.
[6] M.R. Qader and I. Qamber, “Enhancement, evaluation and imple-mentation of a load forecasting method”, JAAUBAS, Vol. 11, April 2012, pp. 1-8.
[7] I. Qamber, “Maxi-mum Annual Load Estimation and Network Strengthen-ing for the Kingdom of Bahrain”, AGJSR, Vol. 28, No. 4, 2010, pp. 214-223.

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