A review of applications of artificial intelligent algorithms in wind farms
Wind farms are enormous and complex control systems. It is challenging and valuable to
control and optimize wind farms. Their applications are widely used in various industries …
control and optimize wind farms. Their applications are widely used in various industries …
Artificial intelligence and machine learning in grid connected wind turbine control systems: A comprehensive review
NO Farrar, MH Ali, D Dasgupta - Energies, 2023 - mdpi.com
As grid-connected wind farms become more common in the modern power system, the
question of how to maximize wind power generation while limiting downtime has been a …
question of how to maximize wind power generation while limiting downtime has been a …
Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data
RM Adnan, RR Mostafa, HL Dai… - Engineering …, 2023 - Taylor & Francis
This study investigates the feasibility of a relevance vector machine tuned with improved
Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using …
Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using …
Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series
B Mohammadi, NTT Linh, QB Pham… - Hydrological …, 2020 - Taylor & Francis
Accurate runoff forecasting plays a key role in catchment water management and water
resources system planning. To improve the prediction accuracy, one needs to strive to …
resources system planning. To improve the prediction accuracy, one needs to strive to …
Improving drought modeling using hybrid random vector functional link methods
Drought modeling is essential in water resources planning and management in mitigating its
effects, especially in arid regions. Climate change highly influences the frequency and …
effects, especially in arid regions. Climate change highly influences the frequency and …
Modelling reference evapotranspiration by combining neuro-fuzzy and evolutionary strategies
This study investigates the potential of two evolutionary neuro-fuzzy inference systems,
adaptive neuro-fuzzy inference system (ANFIS) with particle swarm optimization (ANFIS …
adaptive neuro-fuzzy inference system (ANFIS) with particle swarm optimization (ANFIS …
Application of newly developed ensemble machine learning models for daily suspended sediment load prediction and related uncertainty analysis
A Sharafati, SB Haji Seyed Asadollah… - Hydrological …, 2020 - Taylor & Francis
Ensemble machine learning models have been widely used in hydro-systems modeling as
robust prediction tools that combine multiple decision trees. In this study, three newly …
robust prediction tools that combine multiple decision trees. In this study, three newly …
Pan evaporation modeling by three different neuro-fuzzy intelligent systems using climatic inputs
Modeling pan evaporation (Epan) estimation is a vital issue in water resources management
because it directly affects water reservoir and water supply systems. In the developing …
because it directly affects water reservoir and water supply systems. In the developing …
Prediction of suspended sediment load using data-driven models
Estimation of suspended sediments carried by natural rivers is essential for projects related
to water resource planning and management. This study proposes a dynamic evolving …
to water resource planning and management. This study proposes a dynamic evolving …
[HTML][HTML] Bias learning improves data driven models for streamflow prediction
Y Lin, D Wang, Y Meng, W Sun, J Qiu… - Journal of Hydrology …, 2023 - Elsevier
Study region Andun river basin of Southern China and 273 watersheds across the
continental United States. Study focus Owing to the data incompleteness and the changing …
continental United States. Study focus Owing to the data incompleteness and the changing …