Simulation models of microbial community, pH, and volatile fatty acids of anaerobic digestion developed by machine learning
Anaerobic digestion (AD) is a promising method for treating high-content organic waste via
the microbiome in an anaerobic environment. However, because AD is a complex process …
the microbiome in an anaerobic environment. However, because AD is a complex process …
Using automated machine learning techniques to explore key factors in anaerobic digestion: At the environmental factor, microorganisms and system levels
Exploring key factors has important guidance for understanding complex anaerobic
digestion (AD) systems. This study proposed a multi-layer automated machine learning …
digestion (AD) systems. This study proposed a multi-layer automated machine learning …
Proactive prediction of total volatile fatty acids concentration in multiple full-scale food waste anaerobic digestion systems using substrate characteristics with machine …
Volatile fatty acids (VFAs) are one of the key intermediates that easily accumulate in food
waste (FW) anaerobic digestion (AD) system. Therefore, VFAs prediction has been …
waste (FW) anaerobic digestion (AD) system. Therefore, VFAs prediction has been …
Prediction of the effluent chemical oxygen demand and volatile fatty acids for anaerobic treatment based on different feature selections machine-learning methods …
G Ye, J Wan, Y Bai, Y Wang, B Zhu, Z Zhang… - Journal of Cleaner …, 2024 - Elsevier
The effluent chemical oxygen demand (COD) and volatile fatty acids (VFA) are important
indicators for measuring wastewater anaerobic treatment systems. Through lab and pilot …
indicators for measuring wastewater anaerobic treatment systems. Through lab and pilot …
Applying machine learning to anaerobic fermentation of waste sludge using two targeted modeling strategies
S Zhai, K Chen, L Yang, Z Li, T Yu, L Chen… - Science of The Total …, 2024 - Elsevier
Anaerobic fermentation is an effective method to harvest volatile fatty acids (VFAs) from
waste activated sludge (WAS). Accurately predicting and optimizing VFAs production is …
waste activated sludge (WAS). Accurately predicting and optimizing VFAs production is …
Predicting the performance of anaerobic digestion using machine learning algorithms and genomic data
Modeling of anaerobic digestion (AD) is crucial to better understand the process dynamics
and to improve the digester performance. This is an essential yet difficult task due to the …
and to improve the digester performance. This is an essential yet difficult task due to the …
Modification and calibration of anaerobic digestion model 1 to simulate volatile fatty acids production during fermentation of municipal sludge
R Nabaterega, B Nazyab, C Eskicioglu - Biochemical Engineering Journal, 2023 - Elsevier
The present study modified the anaerobic digestion model No. 1 (ADM1) to simulate
biological volatile fatty acids (VFA) production from municipal sludge. A variable and …
biological volatile fatty acids (VFA) production from municipal sludge. A variable and …
Prediction of biogas production in anaerobic digestion of a full‐scale wastewater treatment plant using ensembled machine learning models
Anaerobic digestion (AD) of sludge is a key approach to recover useful bioenergy from
wastewater treatment and its stable operation is important to a wastewater treatment plant …
wastewater treatment and its stable operation is important to a wastewater treatment plant …
An integrated approach based on virtual data augmentation and deep neural networks modeling for VFA production prediction in anaerobic fermentation process
Data-driven models are suitable for simulating biological wastewater treatment processes
with complex intrinsic mechanisms. However, raw data collected in the early stage of …
with complex intrinsic mechanisms. However, raw data collected in the early stage of …
Predicting the impact of hydraulic retention time and biodegradability on the performance of sludge acidogenesis using an artificial neural network
This study aimed to predict volatile fatty acids (VFAs) production from SDBS-pretreated
waste-activated sludge (WAS). A lab-scale continuous experiment was conducted at varying …
waste-activated sludge (WAS). A lab-scale continuous experiment was conducted at varying …
相关搜索
- anaerobic digestion microbial community
- fatty acids microbial community
- anaerobic digestion fatty acids
- machine learning microbial community
- anaerobic digestion machine learning
- machine learning fatty acids
- machine learning waste sludge
- machine learning feature analysis
- anaerobic digestion refractory organics
- anaerobic digestion functional genes
- anaerobic digestion environmental factor
- anaerobic digestion biogas production
- fatty acids feature selections
- fatty acids lab scale
- machine learning proactive prediction
- machine learning substrate characteristics