DETERMINISTIC AND STOCHASTIC COMPONENTS OF TIME SERIES: MODELING OF POWER CONSUMPTION

2024

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DOI 10.52167/1609-1817-2024-130-1-163-170
Data confidence 70 medium
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Abstract

The article considers the modeling of power consumption using data consistency. The most significant factors influencing the volume of hourly consumption have been identified and exogenous variables have been studied. To substantiate the optimal statistical characteristics and predictive qualities of the model, the main component of the series, the nature of its stationarity, specification, parameterization and verification and approbation of models are determined; testing of fictitious variables in order to improve their qualities.