Modeling and forecasting of gross milk yield using modern methods of time series analysis
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Дата
2025
Науковий керівник
Назва журналу
Номер ISSN
Назва тому
Видавець
КПІ ім. Ігоря Сікорського
Анотація
The article considers approaches to modeling and forecasting gross milk yield based on modern methods of time series analysis. The development of forecasting methods in the agro-industrial sector is an important task, since effective management of milk produc-tion allows optimizing resources, reducing losses and increasing the profitability of enterprises. Two approaches were used to imple-ment the forecasting models: SARIMAX and Prophet – time series models. A comparative analysis of the accuracy of these models was conducted using evaluation metrics such as RMSE, MAE, MAPE and MASE. The results of the study showed that the Prophet model demonstrated higher forecasting accuracy, especially for long-term trends and seasonal changes. The results obtained can be used to plan production processes in the dairy sector, manage feed stocks, and determine optimal enterprise development strategies
Опис
Ключові слова
milk production, time series, forecasting, data analysis, predictive analytics, виробництво молока, часові ряди, прогнозування, аналіз даних, прогнозна аналітика
Бібліографічний опис
Fartushny, I. Modeling and forecasting of gross milk yield using modern methods of time series analysis / Fartushny Ivan, Kulyk Anatolii, Melnyk Olha // Економічний вісник НТУУ «КПІ» : збірник наукових праць. – 2025. – № 33. – C. 247-252. – Бібліогр.: 19 назв.