ANN based Short-Term Load Curve Forecasting

Violeta Eugenia Chis, Constantin Barbulescu, Stefan Kilyeni, Simona Dzitac

Abstract


A software tool developed in Matlab for short-term load forecasting (STLF) is presented. Different forecasting methods such as artificial neural networks, multiple linear regression, curve fitting have been integrated into a stand-alone application with a graphical user interface. Real power consumption data have been used. They have been provided by the branches of the distribution system operator from the Southern-Western part of the Romanian Power System. This paper is an extended variant of [4].

Keywords


artificial neural networks; short-term load forecasting; articial intelligence; load curve

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References


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[Online]. Available: www.mathworks.com Matlab Users guide, Accesed on 12 February 2018.




DOI: https://doi.org/10.15837/ijccc.2018.6.3385



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