title: Ð¦Ð¸ÑÑÐ¾Ð²Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ Ð´Ð»Ñ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¼Ð°ÐºÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð¾Ð³Ð¾ ÑÐ½ÐµÑÐ³Ð¾Ð¿Ð¾ÑÑÐµÐ±Ð»ÐµÐ½Ð¸Ñ ÑÐ½ÐµÑÐ³ÐµÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ ÑÐµÐ³Ð¸Ð¾Ð½Ð°
title: Digital model for forecasting the maximum power consumption of energy region
Creators: name: Ð ÑÑÑÐºÐ¾Ð², ÐÐ»ÐµÐ³
name: Ð¡Ð°ÑÐ°Ð´Ð¶Ð¸ÑÐ²Ð¸Ð»Ð¸, Ð¡ÐµÑÐ³ÐµÐ¹
name: "Ð¡Ð¸ÑÑÐµÐ¼Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð² Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ð¸ Ð¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ð¸", Ð¼ÐµÐ¶Ð´ÑÐ½Ð°ÑÐ¾Ð´Ð½Ð°Ñ Ð½Ð°ÑÑÐ½Ð°Ñ Ð¸ ÑÑÐµÐ±Ð½Ð¾-Ð¿ÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ°Ñ ÐºÐ¾Ð½ÑÐµÑÐµÐ½ÑÐ¸Ñ (25; 2021; Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³)
Publisher: name: ÐÐÐÐÐ¢ÐÐ¥-ÐÐ ÐÐ¡Ð¡
Year: 2021
Subjects: ÐÐ¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
Ð¡Ð¸ÑÑÐµÐ¼Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
Ð½ÐµÑÐ°Ð²Ð½Ð¾Ð¼ÐµÑÐ½ÑÐ¹ Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð¹ ÑÑÐ´
Ð¿ÑÐ¾Ð³Ð½Ð¾Ð· ÑÐ»ÐµÐºÑÑÐ¾ÑÐ½ÐµÑÐ³Ð¸Ð¸
ÑÐ½ÐµÑÐ³Ð¾Ð¿Ð¾ÑÑÐµÐ±Ð»ÐµÐ½Ð¸Ðµ
ÑÐ½ÐµÑÐ³Ð¾ÑÐ±ÐµÑÐµÐ¶ÐµÐ½Ð¸Ðµ

description: ÐÐ½Ð¾Ð³Ð¸Ðµ Ð¿ÑÐ¾ÑÐµÑÑÑ Ð² Ð¿ÑÐ¾Ð¼ÑÑÐ»ÐµÐ½Ð½Ð¾ÑÑÐ¸ Ð¾Ð¿Ð¸ÑÑÐ²Ð°ÑÑÑÑ Ð½ÐµÑÐ°Ð²Ð½Ð¾Ð¼ÐµÑÐ½ÑÐ¼Ð¸ Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÐ¼Ð¸ ÑÑÐ´Ð°Ð¼Ð¸. Ð¢ÑÑÐ´Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð½ÐµÑÐ°Ð²Ð½Ð¾Ð¼ÐµÑÐ½ÑÑ Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ ÑÑÐ´Ð¾Ð² ÑÐ¾Ð·Ð´Ð°ÑÑ Ð½ÐµÐ¾Ð±ÑÐ¾Ð´Ð¸Ð¼Ð¾ÑÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð½Ð¾Ð²ÑÑ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ. Ð ÑÑÐ°ÑÑÐµ Ð¾Ð±Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ñ Ð¿ÑÐ¾ÑÐµÑÑÑ ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ ÑÑÐ°Ð½ÑÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸ Ð¾ÑÑÐ°ÑÐ»Ð¸. ÐÐ¾ÐºÐ°Ð·Ð°Ð½Ð° Ð²Ð°Ð¶Ð½Ð¾ÑÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ Ð¸ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ ÑÐ¸ÑÑÐ¾Ð²ÑÑ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ. Ð Ð°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ Ð¿ÑÐµÐ¸Ð¼ÑÑÐµÑÑÐ²Ð° Ð¸ Ð½ÐµÐ´Ð¾ÑÑÐ°ÑÐºÐ¸ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ ÑÑÐ´Ð¾Ð². ÐÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½ Ð¼ÐµÑÐ¾Ð´Ð¸ÑÐµÑÐºÐ¸Ð¹ Ð¿Ð¾Ð´ÑÐ¾Ð´ Ðº Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð½ÐµÑÐ°Ð²Ð½Ð¾Ð¼ÐµÑÐ½ÑÑ Ð¸ Ð¸Ð·Ð¼ÐµÐ½ÑÐ¸Ð²ÑÑ Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ ÑÑÐ´Ð¾Ð². Ð Ð°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ð° ÑÐ¸ÑÑÐ¾Ð²Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð½ÐµÑÐ°Ð²Ð½Ð¾Ð¼ÐµÑÐ½Ð¾Ð³Ð¾ ÑÐ½ÐµÑÐ³Ð¾Ð¿Ð¾ÑÑÐµÐ±Ð»ÐµÐ½Ð¸Ñ. ÐÐ»Ð³Ð¾ÑÐ¸ÑÐ¼ ÑÐ°Ð±Ð¾ÑÑ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¿Ð¾ÐºÐ°Ð·Ð°Ð½ Ð² Ð´ÐµÑÐ°Ð»ÑÑ. ÐÐ¿Ð¸ÑÐ°Ð½Ñ Ð¸ÑÐ¿ÑÑÐ°Ð½Ð¸Ñ Ð¸ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ðµ Ð´Ð°Ð½Ð½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð½Ð° Ð¿ÑÐ¾Ð¼ÑÑÐ»ÐµÐ½Ð½Ð¾Ð¼ Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ð¸. ÐÐ½Ð°Ð»Ð¸Ð·Ð¸ÑÑÑÑÑÑ Ð¿ÑÐµÐ¸Ð¼ÑÑÐµÑÑÐ²Ð° Ð¿ÑÐµÐ´Ð»Ð°Ð³Ð°ÐµÐ¼Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¿Ð¾ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ñ Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ð¼Ð¸. ÐÐ¿Ð¸ÑÐ°Ð½Ñ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ðµ Ð¸ ÑÐºÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ðµ Ð°ÑÐ¿ÐµÐºÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸. ÐÐ¾ÐºÐ°Ð·Ð°Ð½Ð¾ ÑÐ½Ð¸Ð¶ÐµÐ½Ð¸Ðµ ÑÐ³Ð»ÐµÑÐ¾Ð´Ð½Ð¾Ð³Ð¾ ÑÐ»ÐµÐ´Ð° Ð² Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸Ð¼Ð¾Ð¹ Ð¿ÑÐ¾Ð´ÑÐºÑÐ¸Ð¸ Ð² ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð² Ð¿ÑÐ¾Ð¼ÑÑÐ»ÐµÐ½Ð½Ð¾ÑÑÐ¸. Ð¡Ð´ÐµÐ»Ð°Ð½ Ð²ÑÐ²Ð¾Ð´ Ð¾ Ð¿ÑÐ¸Ð¼ÐµÐ½Ð¸Ð¼Ð¾ÑÑÐ¸ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¼ÐµÑÐ¾Ð´Ð° Ð´Ð»Ñ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð½ÐµÑÐ°Ð²Ð½Ð¾Ð¼ÐµÑÐ½ÑÑ Ð¸ Ð¸Ð·Ð¼ÐµÐ½ÑÐ¸Ð²ÑÑ Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ ÑÑÐ´Ð¾Ð².
description: There are many uneven time series in industry. The difficulties of forecasting uneven time series create the need to develop new forecasting models. The processes of industry digital transformation are justified. The importance of creating and applying digital forecasting models is shown. The advantages and disadvantages of existing time series models are considered. The methodical approach to forecasting uneven and volatile time series is proposed. Digital model for forecasting uneven power consumption is considered. The algorithm of the model is shown in the details. Tests and implementation of this model at industrial enterprise are described. The advantages of the proposed model in relation to existing ones are analyzed. The economic and environmental aspects of the model application are described. The reduction of the carbon footprint in manufactured products as a result of using the proposed model in industry is shown. The conclusion about the applicability of proposed method for forecasting uneven and volatile time series is made.