COMPARATIVE ANALYSIS OF TRENDS IN ELECTRICITY CONSUMPTION BY AGRO-INDUSTRIAL ENTERPRISES USING DIMENSIONLESS TIME SERIES
Timely analysis of trends in electricity consumption at agro-industrial enterprises is important both for the enterprises themselves and for assessing the general pattern of reducing the energy intensity of livestock products. (Research Purpose) The research purpose is determining the trends of electricity consumption at various agro-industrial enterprises and carrying out their comparative analysis. (Materials and methods) To analyze statistical data on electricity consumption in 2023 by month at agro-industrial enterprises, namely: at a poultry farm, a pig complex and a meat processing plant, using computer methods of time series analysis. (Results and discussion) We have identified trends in statistical data and confirmed significant deviations of electricity consumption up and down relative to linear positive trends. Mathematical models were defined for each enterprise to describe the temporary statistics of electricity consumption. Based on the calculated autocorrelation functions, it was shown that in the analyzed statistical data there are no indicators of seasonality, cyclicity and correlation, while all deviations in electricity consumption are random. A methodology was proposed and applied to conduct a comparative analysis of electricity consumption by agro-industrial enterprises using graphs of dimensionless time series of statistics. (Conclusions) Using the proposed methodology for the analysis of temporary statistics, it was shown that the annual increase in electricity consumption at the poultry farm was maximum in 2023 and amounted to 45 percent, and at the pig complex and meat processing plant - significantly lower (8 and 7.5 percent, respectively). Since the volume of output at the analyzed enterprises remained unchanged during 2023, it was confirmed that the increase in electricity consumption (especially at the poultry farm) indicates a constant increase in the energy intensity of the products.
Authors
- A P Darmanyan
- Sсhubert Maignan
Publication Details
- Journal
- Elektrotekhnologii i elektrooborudovanie v APK
- Published
- 2025-01-01
- DOI
- https://doi.org/10.22314/2658-4859-2025-72-1-41-48
- Primary Topic
- Energy Load and Power Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00