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Multivariate Reservoir Inflow Forecasting Using...
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

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