In:
Energy Safety and Energy Economy, Moscow Institute of Energy-Safety and Energy-Economy, Vol. 2 ( 2022-04), p. 26-31
Abstract:
This paper presents the results of a previously published research of dynamics and short-term forecasting of regional power consumption. An autoregressive-moving-average based short-term forecasting model has been developed to estimate contribution of the temperature factor. The Box-Jenkins method was used to assess forecast model parameters and included a preliminary property-based estimation and parameter optimization based on maximum likelihood estimation.
Type of Medium:
Online Resource
ISSN:
2071-2219
Uniform Title:
Анализ динамики и краткосрочное прогнозирование регионального электропотребления с учетом влияния температуры
DOI:
10.18635/2071-2219-2022-2-26-31
Language:
Unknown
Publisher:
Moscow Institute of Energy-Safety and Energy-Economy
Publication Date:
2022
