Journal article
Multivariate Reservoir Inflow Forecasting Using Temporal Neural Networks
Abstract
An experiment on predicting multivariate water resource time series, specifically the prediction of hydropower reservoir inflow using temporal neural networks, is presented. This paper focuses on dynamic neural networks to address the temporal relationships of the hydrological series. Three types of temporal neural network architectures with different inherent representations of temporal information are investigated. An input delayed neural …
Authors
Coulibaly P; Anctil F; Bobée B
Journal
Journal of Hydrologic Engineering, Vol. 6, No. 5, pp. 367–376
Publisher
American Society of Civil Engineers (ASCE)
Publication Date
October 2001
DOI
10.1061/(asce)1084-0699(2001)6:5(367)
ISSN
1084-0699