Control technologies of wastewater treatment plants: the state-of-the-art, current challenges, and future directions

M Faisal, KM Muttaqi, D Sutanto, AQ Al-Shetwi… - … and Sustainable Energy …, 2023 - Elsevier
Existing pieces of literature on previous studies advocate the research focus by various
researchers to reach the benchmark of energy efficiency of Wastewater Treatment Plants …

Sliding mode control for networked control systems: A brief survey

W Zhou, Y Wang, Y Liang - ISA transactions, 2022 - Elsevier
In recent years, the control synthesis and analysis of networked control systems (NCSs)
have attracted increasing attention from both industrial and scientific communities, and many …

[HTML][HTML] Integrating building and urban semantics to empower smart water solutions

S Howell, Y Rezgui, T Beach - Automation in Construction, 2017 - Elsevier
Current urban water research involves intelligent sensing, systems integration, proactive
users and data-driven management through advanced analytics. The convergence of …

Dynamic MOPSO-based optimal control for wastewater treatment process

HG Han, Z Liu, W Lu, Y Hou… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
To achieve excellent treatment performance of complex and time-varying characteristics, the
operation of wastewater treatment process (WWTP) has been considered as a dynamic …

A cooperative co-evolutionary approach to large-scale multisource water distribution network optimization

WN Chen, YH Jia, F Zhao, XN Luo… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Potable water distribution networks (WDNs) are important infrastructures of modern cities. A
good design of the network can not only reduce the construction expenditure but also …

Contribution-based cooperative co-evolution for nonseparable large-scale problems with overlapping subcomponents

YH Jia, Y Mei, M Zhang - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
Cooperative co-evolutionary algorithms have addressed many large-scale problems
successfully, but the nonseparable large-scale problems with overlapping subcomponents …

An extreme learning machine approach to effective energy disaggregation

VM Salerno, G Rabbeni - Electronics, 2018 - mdpi.com
Power disaggregation is aimed at determining appliance-by-appliance electricity
consumption, leveraging upon a single meter only, which measures the entire power …

Optimizing scale for decentralized wastewater treatment: a tool to address failing wastewater infrastructure in the United States

SE Schwetschenau, Y Kovankaya, MA Elliott… - ACS ES&T …, 2022 - ACS Publications
Wastewater systems (sewered or on-site septic tanks) are failing across the US
Economically disadvantaged populations, communities of color, tribal lands, and rural/peri …

Intelligent optimal control system with flexible objective functions and its applications in wastewater treatment process

H Han, L Zhang, HX Liu, C Yang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Optimal control system has been considered as a valuable technique to enhance the
reliability and security of wastewater treatment process (WWTP). However, due to the …

A decomposition approach for large-scale non-separable optimization problems

M Meselhi, R Sarker, D Essam, S Elsayed - Applied Soft Computing, 2022 - Elsevier
Large-scale optimization is the key to many practical decision processes. To deal with the
dimensional issue in such problems, many approaches incorporate a divide-and-conquer …