The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook

MA Hariri-Ardebili, G Mahdavi, LK Nuss… - Engineering Applications of …, 2023 - Elsevier
This narrative review paper explores the diverse applications of artificial intelligence (AI) in
the field of dam engineering. Authored by research engineers specializing in civil …

[HTML][HTML] An argument-driven classification and comparison of reservoir operation optimization methods

B Dobson, T Wagener, F Pianosi - Advances in Water Resources, 2019 - Elsevier
Reservoir operation optimization aims to determine release and transfer decisions that
maximise water management objectives such as ensuring a reliable water supply …

Hydropower operation optimization using machine learning: A systematic review

J Bernardes Jr, M Santos, T Abreu, L Prado Jr… - AI, 2022 - mdpi.com
The optimal dispatch of hydropower plants consists of the challenge of taking advantage of
both available head and river flows. Despite the objective of delivering the maximum power …

Assessing adaptive irrigation impacts on water scarcity in nonstationary environments—a multi‐agent reinforcement learning approach

F Hung, YCE Yang - Water Resources Research, 2021 - Wiley Online Library
One major challenge in water resource management is to balance the uncertain and
nonstationary water demands and supplies caused by the changing anthropogenic and …

Review of mathematical programming applications in water resource management under uncertainty

TW Archibald, SE Marshall - Environmental Modeling & Assessment, 2018 - Springer
Economic development, variation in weather patterns and natural disasters focus attention
on the management of water resources. This paper reviews the literature on the …

A regret-based behavioral model for shared water resources management: Application of the correlated equilibrium concept

A Eyni, MJE Skardi, R Kerachian - Science of the Total Environment, 2021 - Elsevier
The competition over water use in shared water resources systems may lead to conflict.
Conflict can lead to strategic behaviors with the consequence of “Tragedy of Common” in …

An improved shuffled frog leaping algorithm and its application in the optimization of cascade reservoir operation

R Li, Z Jiang, A Li, S Yu, C Ji - Hydrological Sciences Journal, 2018 - Taylor & Francis
ABSTRACT A new improved shuffled frog leaping algorithm (SFLA), the chaos catfish effect
SFLA (CCESFLA), is proposed by coupling a local “refine search” mechanism and a “global …

Development of an efficient input selection method for NN based streamflow model

AB Dariane, MM Behbahani - Journal of Applied Water …, 2023 - Taylor & Francis
In this paper, using a neural network-based streamflow simulation model (NNSSM), we
simulate the runoff of the Ajichai River. The selection of suitable inputs is an essential step …

Long term streamflow forecasting using a hybrid entropy model

AB Dariane, M Farhani, S Azimi - Water resources management, 2018 - Springer
In this paper, the development and evaluation of an entropy based hybrid data driven model
coupled with input selection approach and wavelet transformation is investigated for long …

Evaluation of input variable selection methods in artificial neural networks for estimating missing daily precipitation

M Ghodrati, AB Dariane - Hydrological Sciences Journal, 2024 - Taylor & Francis
This study evaluates different input variable selection (IVS) methods for precise daily
precipitation estimation using artificial neural network (ANN) models. The effectiveness of …