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Oct 14, 2020 · Our comparison shows that for sewer systems with uncertain inflows, a CC-MPC allows for better statistical guarantees for avoiding weir overflow ...
Our comparison shows that for sewer systems with uncertain inflows, a CC-MPC allows for better statistical guarantees for avoiding weir overflow, than relying ...
This comparison shows that for sewer systems with uncertain inflows, a CC-MPC allows for better statistical guarantees for avoiding weir overflow, ...
Sep 6, 2024 · Our comparison shows that for sewer systems with uncertain inflows, a CC-MPC allows for better statistical guarantees for avoiding weir overflow ...
This paper proposes model predictive control driven by stochastic differential equations and genetic optimization to prioritize aeration in periods with low ...
Oct 22, 2024 · This paper focuses on developing a stochastic model predictive control (MPC) strategy based on Gaussian Processes (GPs) for propagating ...
Missing: Sewer | Show results with:Sewer
They are used for transporting wastewater and rainwater from cities to treatment facilities, where wastewater is treated before being released into the ...
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Stochastic Model Predictive Control Utilizing Bayesian Neural Networks
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We explore Bayesian neural networks for stochastic learning-assisted control, comparing their performance to Gaussian processes on a wastewater treatment plant ...
Missing: Sewer | Show results with:Sewer
Jan 12, 2024 · A method for minimizing the environmental impact of SN overflows is proposed, based on MPC algorithm, and using PSO as the optimization method.
Mar 25, 2023 · We explore Bayesian neural networks for stochastic learning-assisted control, comparing their performance to Gaussian processes on a wastewater.