A review of hybrid deep learning applications for streamflow forecasting
Deep learning has emerged as a powerful tool for streamflow forecasting and its
applications have garnered significant interest in the hydrological community. Despite the …
applications have garnered significant interest in the hydrological community. Despite the …
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research …
River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …
sustainability of water resources. The literature has shown great potential for nature-inspired …
Recent advances in Grey Wolf Optimizer, its versions and applications
The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …
[HTML][HTML] Short-term streamflow forecasting using hybrid deep learning model based on grey wolf algorithm for hydrological time series
HC Kilinc, A Yurtsever - Sustainability, 2022 - mdpi.com
The effects of developing technology and rapid population growth on the environment have
been expanding gradually. Particularly, the growth in water consumption has revealed the …
been expanding gradually. Particularly, the growth in water consumption has revealed the …
Scale effects of the monthly streamflow prediction using a state-of-the-art deep learning model
W Xu, J Chen, XJ Zhang - Water Resources Management, 2022 - Springer
The accurate prediction of monthly streamflow is important in sustainable water resources
planning and management. There is a growing interest in the development of deep learning …
planning and management. There is a growing interest in the development of deep learning …
[HTML][HTML] Comprehensive analysis for long-term hydrological simulation by deep learning techniques and remote sensing
C Xu, Y Wang, H Fu, J Yang - Frontiers in earth science, 2022 - frontiersin.org
Hydrological simulation plays a very important role in understanding the hydrological
processes and is of great significance to flood forecasting and optimal allocation of water …
processes and is of great significance to flood forecasting and optimal allocation of water …
Review of recent trends in the hybridisation of preprocessing-based and parameter optimisation-based hybrid models to forecast univariate streamflow
BA Kareem, SL Zubaidi, N Al-Ansari… - … -Computer Modeling in …, 2024 - diva-portal.org
Forecasting river flow is crucial for optimal planning, management, and sustainability using
freshwater resources. Many machine learning (ML) approaches have been enhanced to …
freshwater resources. Many machine learning (ML) approaches have been enhanced to …
Deformation forecasting of pulp-masonry arch dams via a hybrid model based on CEEMDAN considering the lag of influencing factors
Deformations in dam structures can have a critical impact on dam safety and life. Accurate
methods for dam deformation prediction and safety evaluation are thus highly needed. Dam …
methods for dam deformation prediction and safety evaluation are thus highly needed. Dam …
Monthly streamflow prediction using hybrid extreme learning machine optimized by bat algorithm: a case study of Cheliff watershed, Algeria
In the present paper, we propose a new approach for monthly streamflow prediction based
on the extreme learning machine (ELM) and the metaheuristic bat algorithm (Bat-ELM). The …
on the extreme learning machine (ELM) and the metaheuristic bat algorithm (Bat-ELM). The …
Stochastic (S [ARIMA]), shallow (NARnet, NAR-GMDH, OS-ELM), and deep learning (LSTM, Stacked-LSTM, CNN-GRU) models, application to river flow forecasting
Forecasting river flow is an important stage in reservoir operation, urban water management,
and water resource optimization. The goal of this research is to forecast daily river flows for …
and water resource optimization. The goal of this research is to forecast daily river flows for …