2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.AI2020
Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems
Gergely Hajgató, György Paál, Bálint Gyires-Tóth
Real-time control of pumps can be an infeasible task in water distribution systems (WDSs) because the calculation to find the optimal pump speeds is resource-intensive. The computa…
cs.LG2020★ 2 cited
Predicting the flow field in a U-bend with deep neural networks
Gergely Hajgató, Bálint Gyires-Tóth, György Paál
This paper describes a study based on computational fluid dynamics (CFD) and deep neural networks that focusing on predicting the flow field in differently distorted U-shaped pipes…