ANN based Short-Term Load Curve Forecasting

  • Violeta Eugenia Chis Aurel Vlaicu University of Arad
  • Constantin Barbulescu Power Systems Department Politehnica University Timisoara Romania Timisoara, Romania
  • Stefan Kilyeni Power Systems Department Politehnica University Timisoara Romania Timisoara, Romania
  • Simona Dzitac Power Engineering Department University of Oradea Oradea, Romania


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].


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How to Cite
CHIS, Violeta Eugenia et al. ANN based Short-Term Load Curve Forecasting. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 13, n. 6, p. 938-955, nov. 2018. ISSN 1841-9844. Available at: <>. Date accessed: 10 aug. 2020. doi:


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