This paper aims to present a comprehensive survey on water quality soft-sensing of a
wastewater treatment process (WWTP) based on artificial neural networks (ANNs). We …

Biological wastewater treatment using algae–bacteria consortia for nutrient uptake and
resource recovery is a 'paradigm shift'from the mainstream wastewater treatment process to …

The wastewater treatment is an important avenue of resources cyclic utilization when coping
with the modern urban diseases. However, there always exist obvious nonlinearities and …

In order to promote low-carbon sustainable operational management of the wastewater
treatment plants (WWTPs), automatic control and optimal operation technologies, which …

Dissolved oxygen (DO) is one of the most important water quality factors. Maintaining the DO
concentration at a desired level is of great value to both wastewater treatment plants …

This paper investigates the performance-guaranteed adaptive self-healing control for
wastewater treatment processes (WWTPs), in which the non-ideal actuator, ie, the actuator …

Abstract Sponge iron (s-Fe 0) has a large specific surface area, is cheap and easy to obtain,
and has a good reduction capacity. Therefore, its efficacy in enhanced wastewater …

To solve the problem of high-energy consumption in activated sludge wastewater treatment,
a reinforcement learning-based particle swarm optimization (RLPSO) was proposed to …

Wastewater treatment plants (WWTP) face challenges due to nonlinearity and influent
oscillations. An efficient optimal control system is necessary to improve effluent water quality …

The primary mandate of wastewater treatment facilities is the limitation of pollutant
discharges, however both continued tightening of permit limits and unique challenges …