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D. Park, M. Al-Sharkawi, R. Marks, A. Atlas and M. Damborg, “Electric Load Forecasting Using an Artificial Neural Network,” IEEE Transactions on Power Systems, Vol. 6, No. 2, 1991, pp. 442-449. doi:10.1109/59.76685

has been cited by the following article:

• TITLE: Isolated Area Load Forecasting using Linear Regression Analysis: Practical Approach

  AUTHORS: M. A. Mahmud

  KEYWORDS: Isolated Area, Load Forecasting, Linear Regression Analysis (LRA).

  JOURNAL NAME: Energy and Power Engineering, Vol.3 No.4, September 27, 2011

  ABSTRACT: This paper presents an analysis to forecast the loads of an isolated area where the history of load is not available or the history may not represent the realistic demand of electricity. The analysis is done through linear regression and based on the identification of factors on which electrical load growth depends. To determine the identification factors, areas are selected whose histories of load growth rate known and the load growth deciding factors are similar to those of the isolated area. The proposed analysis is applied to an isolated area of Bangladesh, called Swandip where a past history of electrical load demand is not available and also there is no possibility of connecting the area with the main land grid system.