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Feilat, E.A. and Bouzguenda, M. (2011) Medium-Term Load Forecasting Using Neural Network Approach. 2011 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East), Jeddah, 17-20 December 2011, 1-5.

has been cited by the following article:

• TITLE: Long-Term Load Forecasting of Southern Governorates of Jordan Distribution Electric System

  AUTHORS: Aouda A. Arfoa

  KEYWORDS: Long-Term Load Forecasting, Peak Load, Max Demand and Least Squares

  JOURNAL NAME: Energy and Power Engineering, Vol.7 No.5, May 28, 2015

  ABSTRACT: Load forecasting is vitally important for electric industry in the deregulated economy. This paper aims to face the power crisis and to achieve energy security in Jordan. Our participation is localized in the southern parts of Jordan including, Ma’an, Karak and Aqaba. The available statistical data about the load of southern part of Jordan are supplied by electricity Distribution Company. Mathematical and statistical methods attempted to forecast future demand by determining trends of past results and use the trends to extrapolate the curve demand in the future.