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Method of autoregression in application of singular-spectral analysis of time series for forecasting production of oil and gas industry products  id статьи: 3025
Тип публикации
материалы конференции
Язык
En
Журнал
E3S Web of Conferences. 9th International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development, AGRITECH-IX 2023. Namangan. 26 October 2023 до 3 November 202

ISSN:25550403
Год
2024
Выходные данные
том 486
выпуск
страницы № 04006
Авторы
Zhukov, A.2
Zhurenkov, D.1
Basalaeva, Y.1
Gedzyun, V.1
Dementeva, I.1
EDN
Абстракт
More and more time series data are produced in various fields. It provides data for the research of time series analysis method, and promotes the development of time series research. Due to the generation of highly complex and large-scale time series data, the construction of forecasting models for time series data brings greater challenges. The theoretical aspects of using the model of singular-spectral analysis of time series with the use of autoregression are considered, and the justification of the expediency of using this model for forecasting the production of products for both the oil and gas industry and dual-use products is given. Both autoregressive model and decision tree model can be applied with the same degree of reliability for forecasting aggregate values of production. © The Authors, published by EDP Sciences.
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2024-04-01 10:56:17
Scopus
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2
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