Forecasting Reservoir Water Levels Using Deep Neural Networks: A Case Study of Angat Dam in the Philippines

Forecasting Reservoir Water Levels Using Deep Neural Networks: A Case Study of Angat Dam in the Philippines

Forecasting reservoir water levels is essential in water supply management, impacting both operations and intervention strategies. This paper examines the short-term and long-term forecasting performance of several statistical and machine learning-based methods for predicting the water levels of the...

Full description

Bibliographic Details
Main Authors: Sebastian C. Ibañez, Carlo Vincienzo G. Dajac, Marissa P. Liponhay, Erika Fille T. Legara, Jon Michael H. Esteban, Christopher P. Monterola
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Water
Subjects:
dam water level
time series forecasting
machine learning
deep neural networks
LSTM
Online Access:https://www.mdpi.com/2073-4441/14/1/34

Internet

https://www.mdpi.com/2073-4441/14/1/34

Similar Items