RAZRABOTKA MODELI PROGNOZIROVANIYA SOVREMENNOGO RYNKA ELEKTROENERGII
Authors:
1.
KSPEU
2.
KNRTU
Type:
Article
eLocation:
Status:
Published
Received:
20.04.2023
Accepted:
01.08.2025
Published:
01.08.2025
Subject area:
UDC 519.2
Language:
Russian
Keywords:
метод экспоненциального сглаживания, метод АРПСС с интервенцией, инструменты прогнозирования, индекс качества модели, method of exponential smoothing, method ARIMA with intervention, forecasting tools, the quality index model
Abstract (English):
The work presents the results of a prediction made by different methods in the Statistica analyses the quality of models, provides guidance on the practical application of the results.
The work presents the results of a prediction made by different methods in the Statistica analyses the quality of models, provides guidance on the practical application of the results.
Keywords:
метод экспоненциального сглаживания, метод АРПСС с интервенцией, инструменты прогнозирования, индекс качества модели, method of exponential smoothing, method ARIMA with intervention, forecasting tools, the quality index model
метод экспоненциального сглаживания, метод АРПСС с интервенцией, инструменты прогнозирования, индекс качества модели, method of exponential smoothing, method ARIMA with intervention, forecasting tools, the quality index model
1. OAO «Generiruyuschaya kompaniya» Kazan', 2014. [Elektronnyy resurs] - Rezhim dostupa: http://www.tatgencom.ru/operations/realization
2. I.K. Budnikova, E.V. Priymak Vestnik Kazanskogo tehnologicheskogo universiteta, 17, 15, 247-249 (2014).
3. I.K. Budnikova, E.V. Priymak, Vestnik Kazanskogo tehnologicheskogo universiteta, 17, 2, 319-321 (2014).
4. V.P. Borovikov. Populyarnoe vvedenie v sovremennyy analiz dannyh v sisteme STATISTICA. - M.: Finansy i statistika, 2012
