Short-term load forecasting software tool

Chis, Violeta; Bărbulescu, Constantin; Kilyeni, Stefan; Dziţac, Simona

doi:10.1109/icccc.2018.8390446

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2018

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“…The current paper is an extended version of [4]. It deals with real power systems data applied for short-term daily load forecasting.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

ANN based Short-Term Load Curve Forecasting

Chis

Bărbulescu

Kilyeni

et al. 2018

INT J COMPUT COMMUN

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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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“…The current paper is an extended version of [4]. It deals with real power systems data applied for short-term daily load forecasting.…”

Section: Introductionmentioning

confidence: 99%

“…It deals with real power systems data applied for short-term daily load forecasting. In [4] one single distribution branch has been discussed. Currently, the work has been extended for all of the distribution branches belonging to the distribution system operator (DSO) involved.…”

Section: Introductionmentioning

confidence: 99%