Enhanced renewable power and load forecasting using RF-XGBoost stacked ensemble

R Banik, A Biswas - Electrical Engineering, 2024 - Springer
The fast growth in renewable power generation, crucial for reducing carbon emissions in the
traditional energy system, is constrained by negative environmental and economic …

Unlocking precision in hydraulic engineering: machine learning insights into labyrinth sluice gate discharge coefficients

T Hashem, IK Harith, NH Alrubaye… - Journal of …, 2024 - iwaponline.com
This study investigates the discharge coefficient (Cd) of labyrinth sluice gates, a modern
gate design with complex flow characteristics. To accurately estimate Cd, regression …

Development of a novel Hybrid Hydrodynamic Particle Simulation Methodology for Estimating Discharge Coefficient of Broad-Crested Weirs

S Shadkani, MM Sergini, F Malekzadeh, A Saber… - Flow Measurement and …, 2024 - Elsevier
Weirs are crucial for flow measurement and water level regulation, with the discharge
coefficient (C d) influenced by factors such as crest length, height, upstream head, and …

Integrated learning model for water intake capacity of Tyrolean weirs under supercritical flow

G Shen, Y Liang, A Parsaie, W Wan, Y Wu… - Journal of …, 2024 - iwaponline.com
Tyrolean weir can be used as an effective solution to address floatation and sediment
deposition in runoff hydropower stations. To improve the efficiency and accuracy of …

[PDF][PDF] Integrated learning model for water intake capacity of Tyrolean weirs under supercritical

G Shena, Y Lianga, A Parsaieb, W Wana, Y Wua… - 2024 - researchgate.net
Tyrolean weir can be used as an effective solution to address floatation and sediment
deposition in runoff hydropower stations. To improve the efficiency and accuracy of …