Modeling Phosphorous Dynamics in a Wastewater Treatment Process using Bayesian Optimized LSTM

Integrated Model for Understanding N2O Emissions from Wastewater Treatment Plants: A Deep Learning Approach

(2021) Soonho Hwangbo et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Compressor Scheduling and Pressure Control for an Alternating Aeration Activated Sludge Process—A Simulation Study Validated on Plant Data

(2021) Laura Debel Hansen et al.   Water

Estimation of effluent parameters of slaughterhouse wastewater treatment with artificial neural network and B-spline quasi interpolation

(2020) Moein Besharati Fard et al.   International Journal of Environmental Research

An integrated framework for plant data-driven process modeling using deep-learning with Monte-Carlo simulations

(2020) Soonho Hwangbo et al.   COMPUTERS & CHEMICAL ENGINEERING

Assessment of sludge management strategies in wastewater treatment systems using a plant-wide approach

(2020) Xavier Flores-Alsina et al.   WATER RESEARCH

Data-driven performance analyses of wastewater treatment plants: A review

(2019) Kathryn B. Newhart et al.   WATER RESEARCH

Plant-wide model-based analysis of iron dosage strategies for chemical phosphorus removal in wastewater treatment systems

(2019) C. Kazadi Mbamba et al.   WATER RESEARCH

A survey on LSTM memristive neural network architectures and applications

(2019) Kamilya Smagulova et al.   European Physical Journal-Special Topics

Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater reuse

(2019) Lin Zhao et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Data-driven Intelligent Monitoring System for Key Variables in Wastewater Treatment Process

(2018) Honggui Han et al.   CHINESE JOURNAL OF CHEMICAL ENGINEERING

Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)

(2018) Andreas Wunsch et al.   JOURNAL OF HYDROLOGY

Towards model predictive control: online predictions of ammonium and nitrate removal by using a stochastic ASM

(2018) Peter Alexander Stentoft et al.   WATER SCIENCE AND TECHNOLOGY

Modelling an industrial anaerobic granular reactor using a multi-scale approach

(2017) H. Feldman et al.   WATER RESEARCH

Plant-wide modelling of phosphorus transformations in wastewater treatment systems: Impacts of control and operational strategies

(2017) K. Solon et al.   WATER RESEARCH

Validation of a plant-wide phosphorus modelling approach with minerals precipitation in a full-scale WWTP

(2016) Christian Kazadi Mbamba et al.   WATER RESEARCH

The Relevance of Phosphorus and Iron Chemistry to the Recovery of Phosphorus from Wastewater: A Review

(2015) Philipp Wilfert et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Evaluation of multiloop chemical dosage control strategies for total phosphorus removal of enhanced biological nutrient removal process

(2015) Prithvi Sai Nadh Garikiparthy et al.   KOREAN JOURNAL OF CHEMICAL ENGINEERING

Deep learning

(2015) Yann LeCun et al.   NATURE

A methodology for sequencing batch reactor identification with artificial neural networks: A case study

(2008) D. Aguado et al.   COMPUTERS & CHEMICAL ENGINEERING