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I. Emovon, M. T. Lilly and S. O. Ogaji, “Design of Software for Main-tenance Workforce Scheduling (Acase Study of Afam Power Station, Nigeria)”, International Journal of Engi-neering, Vol. 4, No. 5, 2012, pp. 235-244.

has been cited by the following article:

• TITLE: Annual Maximum Loads Estimation Modeling for Kingdom of Bahrain

  AUTHORS: Isa S. Qamber

  KEYWORDS: Annual Maximum Load, Curve Fitting, Load Scenarios

  JOURNAL NAME: Engineering, Vol.5 No.1B, January 15, 2013

  ABSTRACT: The present paper proposes the impact of the air temperature on electricity demand as expected. The annual maximum load is recorded versus the years starting by the year 2009. At present, the graph fitting was applied with some mathematical and computational tools considering the lower values, the higher values and the average values of the annual maximum loads of Kingdom of Bahrain. For the three scenarios, the models are obtained by curve fitting technique. As well, the model of actual loads is obtained finally which has mostly the closest values obtained.