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Article citations


T. W. S Chow and C. T. Leung, “Nonlinear Autoregressive Integrated Neural Network Model for Short-Term Load Forecasting,” IEE Proceedings of Generation, Transmission and Distribution, Vol. 143, No. 5, 1996, pp. 500-506. doi: 10.1049/ip-gtd:19960600

has been cited by the following article:

  • TITLE: A Hybrid Short Term Load Forecasting Model of an Indian Grid

    AUTHORS: R. Behera, B. P. Panigrahi, B. B. Pati

    KEYWORDS: Short Term Load Forecasting, Parameter Estimation, Trending Technique, Co-Relation

    JOURNAL NAME: Energy and Power Engineering, Vol.3 No.2, May 18, 2011

    ABSTRACT: This paper describes an application of combined model of extrapolation and correlation techniques for short term load forecasting of an Indian substation. Here effort has been given to improvise the accuracy of elec-trical load forecasting considering the factors, past data of the load, respective weather condition and finan-cial growth of the people. These factors are derived by curve fitting technique. Then simulation has been conducted using MATLAB tools. Here it has been suggested that consideration of 20 years data for a devel-oping country should be ignored as the development of a country is highly unpredictable. However, the im-portance of the past data should not be ignored. Here, just previous five years data are used to determine the above factors.