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Transforming data into actionable knowledge for fault detection, diagnosis and prognosis in urban wastewater systems with AI techniques: A mini-review
Recent advances in artificial intelligence (AI) and data analytics (DA) could provide
opportunities for the fault management and the decision-making of the urban wastewater …
opportunities for the fault management and the decision-making of the urban wastewater …
[HTML][HTML] Revolutionizing wastewater treatment toward circular economy and carbon neutrality goals: Pioneering sustainable and efficient solutions for automation and …
Wastewater treatment plants (WWTPs) play a crucial role in ensuring a safe environment by
effectively removing contaminants and minimizing pollutant discharges. Compliance with …
effectively removing contaminants and minimizing pollutant discharges. Compliance with …
Machine learning for modeling N2O emissions from wastewater treatment plants: Aligning model performance, complexity, and interpretability
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 …
(WWTP) total carbon footprint. Given the complexity of the pathways involved, estimating N 2 …
High fidelity digital twin-based anomaly detection and localization for smart water grid operation management
ZY Wu, A Chew, X Meng, J Cai, J Pok… - Sustainable Cities and …, 2023 - Elsevier
Abstract Smart Water Grid (SWG) plays a critical role in sustaining cities economic and
social development, but challenges remain in fully realizing the benefits of SWG. While …
social development, but challenges remain in fully realizing the benefits of SWG. While …
MachIne learning for nutrient recovery in the smart city circular economy–A review
Urbanisation is leading to a concentration of growing city populations that contribute
significantly to economic growth, while becoming epicentres of waste generation …
significantly to economic growth, while becoming epicentres of waste generation …
Deep learning optimization for soft sensing of hard-to-measure wastewater key variables
Soft sensors can be an essential part of a digital twin to acquire critical wastewater
information for operation optimization. Soft sensor predictions have been successfully …
information for operation optimization. Soft sensor predictions have been successfully …
A full‐scale operational digital twin for a water resource recovery facility—A case study of Eindhoven Water Resource Recovery Facility
Digital transformation for the water sector has gained momentum in recent years, and many
water resource recovery facilities modelers have already started transitioning from …
water resource recovery facilities modelers have already started transitioning from …
Towards good modelling practice for parallel hybrid models for wastewater treatment processes
L Verhaeghe, J Verwaeren, G Kirim… - Water Science & …, 2024 - iwaponline.com
This study explores various approaches to formulating a parallel hybrid model (HM) for
Water and Resource Recovery Facilities (WRRFs) merging a mechanistic and a data-driven …
Water and Resource Recovery Facilities (WRRFs) merging a mechanistic and a data-driven …
Hybrid modelling of nitrogen removal by biofiltration using high-frequent operational data
M Serrao, V Jauzein, I Juran, B Tassin… - Water Science & …, 2024 - iwaponline.com
In this research, a parallel hybrid model is presented for the simulation of nitrogen removal
by submerged biofiltration of a very large-size wastewater treatment plant. This hybrid model …
by submerged biofiltration of a very large-size wastewater treatment plant. This hybrid model …
Dynamic calibration of a new secondary settler model using cand. microthrix as a predictor of settling velocity
Climate change is projected to increase the frequency of hydraulic shocks on urban water
systems, affecting water resource recovery facilities (WRRFs). In these facilities, the …
systems, affecting water resource recovery facilities (WRRFs). In these facilities, the …