The main objective of this paper is to demonstrate how greenhouse gas (GHG) emissions can be quantified during the evaluation of control strategies in wastewater treatment plants …
J Qiao, W Zhang - Neural Computing and Applications, 2018 - Springer
A dynamic multi-objective optimization control (DMOOC) scheme is proposed in this paper for the wastewater treatment process (WWTP), which can dynamically optimize the set …
P Zhou, X Wang, T Chai - IEEE Transactions on Cybernetics, 2022 - ieeexplore.ieee.org
This article proposes a multiobjective operation optimization method based on reinforcement self-learning and knowledge guidance for quality assurance and consumption …
In this paper, a control approach for improving the overall efficiency of a wastewater treatment plant (WWTP) is presented. It consists of a cascaded control system that uses a …
This study develops a multi-objective supervisory control (MOSC) strategy for wastewater treatment based on hybrid machine-learning algorithms that search optimal setpoints of …
An important tool to minimise energy consumption in activated sludge processes is to control the aeration system. Aeration is a costly process and the dissolved oxygen level will …
This review paper describes different control applications for the A2/O process in sewage wastewater treatment plants. The contents elucidate the research carried out in the literature …
Wastewater treatment is an integral component in the sustainable development of our society. Optimal control and operation is critical to the efficiency and economics of a …
YB Xie, D Wang, JF Qiao - Science China Technological Sciences, 2022 - Springer
Wastewater treatment plays a crucial role in alleviating water shortages and protecting the environment from pollution. Due to the strong time variabilities and complex nonlinearities …