A Water Level Forecast of Pattani River in the Southern of Thailand by Deep Learning
A Water Level Forecast of Pattani River in the Southern of Thailand by Deep Learning作者机构：Hydro-Informatics Institute (Public Organization) Ministry of Higher Education Science Research and Innovation Bangkok Thailand
出 版 物：《Journal of Computer and Communications》 (电脑和通信（英文）)
年 卷 期：2023年第11卷第8期
页 面：14-28页
学科分类：0502[文学-外国语言文学] 050201[文学-英语语言文学] 05[文学]
主 题：Time Series Transformer Linear Regression Water Level Prediction Data Cleansing
摘 要：Nowadays, the deep learning methods are widely applied to analyze and predict the trend of various disaster events and offer the alternatives to make the appropriate decisions. These support the water resource management and the short-term planning. In this paper, the water levels of the Pattani River in the Southern of Thailand have been predicted every hour of 7 days forecast. Time Series Transformer and Linear Regression were applied in this work. The results of both were the water levels forecast that had the high accuracy. Moreover, the water levels forecasting dashboard was developed for using to monitor the water levels at the Pattani River as well.
维普期刊数据库
