Войти
Singular-spectrum time series analysis for oil and gas industry production forecasting  id статьи: 2967
Тип публикации
материалы конференции
Язык
En
Журнал
2nd International Conference on Environmental Technologies and Engineering for Sustainable Development, ETESD-II 2023. Tashkent. 13 September 2023 до 15 September 2023

ISSN:25550403
Год
2023
Выходные данные
том 443
выпуск
страницы № 03001
Авторы
Zhukov, A.2
Zhurenkov, D.1
Basalaeva, Y.1
Gedzyun, V.1
Skripachev, V.1
EDN
Абстракт
The article considers theoretical aspects of using the model of singular-spectral analysis of time series with the use of decision trees, and also provides justification of the feasibility of using this model for forecasting the production of products for both oil and gas industry and dual-use products. To reduce the risks of distortion of aggregated forecast values when working with large data sets, the expert should carry out preliminary manual selection and exclusion of products, the release of which has been completed or suspended. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative
Ключевые слова
Дата занесения
2024-02-05 11:51:08 (квартал- IV)
Scopus
Статус есть
Квартиль --
WoS
Статус нет
Квартиль --
РИНЦ
Статус нет
Импакт-фактор --
количество баллов за публикацию
2
количество баллов каждому автору
0.33
Финансирование: