Applications of machine learning algorithms for biological wastewater treatment: updates and perspectives

B Sundui, OA Ramirez Calderon… - Clean Technologies and …, 2021 - Springer
Biological wastewater treatment using algae–bacteria consortia for nutrient uptake and
resource recovery is a 'paradigm shift'from the mainstream wastewater treatment process to …

Transforming data into knowledge for improved wastewater treatment operation: A critical review of techniques

L Corominas, M Garrido-Baserba, K Villez… - … modelling & software, 2018 - Elsevier
The aim of this paper is to describe the state-of-the art computer-based techniques for data
analysis to improve operation of wastewater treatment plants. A comprehensive review of …

[HTML][HTML] Predicting quality parameters of wastewater treatment plants using artificial intelligence techniques

E Aghdam, SR Mohandes, P Manu, C Cheung… - Journal of Cleaner …, 2023 - Elsevier
Estimating wastewater treatment plants'(WWTPs) influent parameters such as 5-day
biological oxygen demand (BOD 5) and chemical oxygen demand (COD) is vital for …

[图书][B] Water and energy: threats and opportunities

G Olsson - 2015 - books.google.com
Rapid and important developments in the area of energy-water nexus over the last two to
three years have been significant. This new edition of Water and Energy: Threats and …

Instrumentation and control of anaerobic digestion processes: a review and some research challenges

J Jimenez, E Latrille, J Harmand, A Robles… - … Science and Bio …, 2015 - Springer
To enhance energy production from methane or resource recovery from digestate,
anaerobic digestion processes require advanced instrumentation and control tools. Over the …

Sweating the assets–the role of instrumentation, control and automation in urban water systems

Z Yuan, G Olsson, R Cardell-Oliver, K van Schagen… - Water research, 2019 - Elsevier
Instrumentation, control and automation (ICA) are currently applied throughout the urban
water system at water treatment plants, in water distribution networks, in sewer networks …

The transition of WRRF models to digital twin applications

E Torfs, N Nicolaï, S Daneshgar, JB Copp… - Water Science and …, 2022 - iwaponline.com
Abstract Digital Twins (DTs) are on the rise as innovative, powerful technologies to harness
the power of digitalisation in the WRRF sector. The lack of consensus and understanding …

Adaptive fuzzy neural network control of wastewater treatment process with multiobjective operation

JF Qiao, Y Hou, L Zhang, HG Han - Neurocomputing, 2018 - Elsevier
This study investigates an adaptive fuzzy neural network control system for the
multiobjective operation of wastewater treatment process (WWTP) with standard effluent …

Development of a Soft Sensor Using Machine Learning Algorithms for Predicting the Water Quality of an Onsite Wastewater Treatment System

HY Shyu, CJ Castro, RA Bair, Q Lu… - ACS Environmental …, 2023 - ACS Publications
Developing advanced onsite wastewater treatment systems (OWTS) requires accurate and
consistent water quality monitoring to evaluate treatment efficiency and ensure regulatory …

[HTML][HTML] Wastewater treatment in 2050: Challenges ahead and future vision in a European context

A Soares - Environmental Science and Ecotechnology, 2020 - Elsevier
The current state of the wastewater industry is one of transition. In Europe, in the last 2
decades, we have seen a significant improvement on river water quality after …