Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jakkarin Weekaew"'
Autor:
Pakorn Ditthakit, Sirimon Pinthong, Nureehan Salaeh, Jakkarin Weekaew, Thai Thanh Tran, Quoc Bao Pham
Publikováno v:
Ain Shams Engineering Journal, Vol 14, Iss 4, Pp 101941- (2023)
Monthly runoff time-series estimation is imperative information for water resources planning and development projects. This article aims to comparatively investigate the applicability of machine learning (ML) methods (i.e., Random Forest (RF), M5 mod
Externí odkaz:
https://doaj.org/article/52d142e24cf7473b8e208d6a71315c90
Autor:
Jakkarin Weekaew, Pakorn Ditthakit, Quoc Bao Pham, Nichnan Kittiphattanabawon, Nguyen Thi Thuy Linh
Publikováno v:
Water; Volume 14; Issue 24; Pages: 4029
Effective reservoir operation under the effects of climate change is immensely challenging. The accuracy of reservoir inflow forecasting is one of the essential factors supporting reservoir operations. This study aimed to investigate coupling models
Publikováno v:
Trends in Sciences. 20:6190
This study utilized historical radiosonde data from 37 selected WMO stations to analyze the physical properties of Southeast Asian lower atmosphere in both spatial and temporal regimes. The proposed analysis method includes the estimation of static a
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030797560
The problem of reservoir inflow forecasting plays a critical role in reservoir management. However, reservoir inflow forecasting must be necessarily accurate and timely. This paper presents practical machine learning (ML) technique and the optimal le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::def3db50aa14a2601756a2a86613854e
https://doi.org/10.1007/978-3-030-79757-7_13
https://doi.org/10.1007/978-3-030-79757-7_13