As the pursuit of “carbon neutrality” gains momentum, the emphasis on low-carbon
solutions, emphasizing energy conservation and resource reuse, has introduced fresh …

The wastewater sector accounts for up to 7 and 10% of anthropogenic CH 4 and N 2 O
emissions, respectively. Nowadays wastewater treatment plants are going through a …

Modelling wastewater processes supports tasks such as process prediction, soft sensing,
data analysis and computer assisted design of wastewater systems. Wastewater treatment …

Rapid and accurate detection of time-delayed water quality indicators (WQIs) is the key to
achieving fast feedback regulation of wastewater treatment plants (WWTPs) that enables its …

Nitrous oxide (N 2 O) emissions may account for up to 80% of a wastewater treatment plant's
(WWTP) total carbon footprint. Given the complexity of the pathways involved, estimating N 2 …

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

In recent years, artificial intelligence (AI), as a rapidly develo** and powerful tool to solve
practical problems, has attracted much attention and has been widely used in various areas …

Wastewater treatment companies are facing several challenges related to the optimization of
energy efficiency, meeting more restricted water quality standards, and resource recovery …

This study presents an advanced algorithm for selecting machine learning (ML) models for
nitrous oxide (N 2 O) emission prediction in wastewater treatment plants (WWTPs) …

Innovation in decarbonizing wastewater treatment is urgent in response to global climate
change. The practical implementation of anaerobic ammonium oxidation (anammox) …