Optimization and control strategies of aeration in WWTPs: A review
Y Gu, Y Li, F Yuan, Q Yang - Journal of Cleaner Production, 2023 - Elsevier
Over the recent decades, the escalating expenses associated with energy provision
alongside the implementation of rigorous ecological regulations have engendered a …
alongside the implementation of rigorous ecological regulations have engendered a …
Integration of green energy and advanced energy-efficient technologies for municipal wastewater treatment plants
Wastewater treatment can consume a large amount of energy to meet discharge standards.
However, wastewater also contains resources which could be recovered for secondary uses …
However, wastewater also contains resources which could be recovered for secondary uses …
Parameter-varying artificial potential field control of virtual coupling system with nonlinear dynamics
Y Cao, J Wen, A Hobiny, P Li, T Wen - Fractals, 2022 - World Scientific
In rail transit systems, improving transportation efficiency has become a research hotspot. In
recent years, a new method of train control system based on virtual coupling has attracted …
recent years, a new method of train control system based on virtual coupling has attracted …
[HTML][HTML] Energy consumption prediction in water treatment plants using deep learning with data augmentation
Wastewater treatment plants (WWTPs) are energy-intensive facilities that play a critical role
in meeting stringent effluent quality regulations. Accurate prediction of energy consumption …
in meeting stringent effluent quality regulations. Accurate prediction of energy consumption …
Unlocking the potential of wastewater treatment: Machine learning based energy consumption prediction
Wastewater treatment plants (WWTPs) are energy-intensive facilities that fulfill stringent
effluent quality norms. Energy consumption prediction in WWTPs is crucial for cost savings …
effluent quality norms. Energy consumption prediction in WWTPs is crucial for cost savings …
Adaptive critic control design with knowledge transfer for wastewater treatment applications
D Wang, X Li, M Zhao, J Qiao - IEEE Transactions on industrial …, 2023 - ieeexplore.ieee.org
The wastewater treatment process (WWTP) is of great significance to environmental
protection. To improve the efficiency of the WWTP, it is crucial to ensure that the dissolved …
protection. To improve the efficiency of the WWTP, it is crucial to ensure that the dissolved …
A synthetic minority oversampling technique based on Gaussian mixture model filtering for imbalanced data classification
Data imbalance is a common phenomenon in machine learning. In the imbalanced data
classification, minority samples are far less than majority samples, which makes it difficult for …
classification, minority samples are far less than majority samples, which makes it difficult for …
A self-organizing fuzzy neural network modeling approach using an adaptive quantum particle swarm optimization
H Zhou, Y Li, H Xu, Y Su, L Chen - Applied Intelligence, 2023 - Springer
To enhance the model's flexibility, this study proposes a self-organizing fuzzy neural network
(SOFNN) modeling methodology based on an adaptive quantum particle swarm …
(SOFNN) modeling methodology based on an adaptive quantum particle swarm …
Multiobjective optimal control for wastewater treatment process using adaptive MOEA/D
H Zhou, J Qiao - Applied Intelligence, 2019 - Springer
Through the analysis of the biological wastewater treatment process (WWTP), a
multiobjective optimal control strategy is developed with the usage of energy consumption …
multiobjective optimal control strategy is developed with the usage of energy consumption …