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]a.
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Chis, V., Barbulescu, C., Kilyeni, S., & Dzitac, S. (2018). ANN based short-term load curve forecasting. International Journal of Computers, Communications and Control, 13(6), 938–955. https://doi.org/10.15837/ijccc.2018.6.3385
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