[HTML][HTML] The role of deep learning in urban water management: A critical review
Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …
potential to transform global economies, environments and societies. They have been …
Smart water resource management using Artificial Intelligence—A review
SR Krishnan, MK Nallakaruppan, R Chengoden… - Sustainability, 2022 - mdpi.com
Water management is one of the crucial topics discussed in most of the international forums.
Water harvesting and recycling are the major requirements to meet the global upcoming …
Water harvesting and recycling are the major requirements to meet the global upcoming …
Advances in application of machine learning to life cycle assessment: a literature review
Abstract Purpose Life Cycle Assessment (LCA) is the process of systematically assessing
impacts when there is an interaction between the environment and human activity. Machine …
impacts when there is an interaction between the environment and human activity. Machine …
Automatic control and optimal operation for greenhouse gas mitigation in sustainable wastewater treatment plants: A review
H Lu, H Wang, Q Wu, H Luo, Q Zhao, B Liu, Q Si… - Science of the Total …, 2023 - Elsevier
In order to promote low-carbon sustainable operational management of the wastewater
treatment plants (WWTPs), automatic control and optimal operation technologies, which …
treatment plants (WWTPs), automatic control and optimal operation technologies, which …
Systematic performance evaluation of reinforcement learning algorithms applied to wastewater treatment control optimization
Treatment of wastewater using activated sludge relies on several complex, nonlinear
processes. While activated sludge systems can provide high levels of treatment, including …
processes. While activated sludge systems can provide high levels of treatment, including …
Towards coordinated and robust real-time control: a decentralized approach for combined sewer overflow and urban flooding reduction based on multi-agent …
Z Zhang, W Tian, Z Liao - Water Research, 2023 - Elsevier
The real-time control (RTC) of urban drainage systems can make full use of the capabilities
of existing infrastructures to mitigate combined sewer overflow (CSO) and urban flooding …
of existing infrastructures to mitigate combined sewer overflow (CSO) and urban flooding …
Where reinforcement learning meets process control: Review and guidelines
RR Faria, BDO Capron, AR Secchi, MB de Souza Jr - Processes, 2022 - mdpi.com
This paper presents a literature review of reinforcement learning (RL) and its applications to
process control and optimization. These applications were evaluated from a new …
process control and optimization. These applications were evaluated from a new …
Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities
Carbon capture, utilization, and sequestration (CCUS) is a promising solution to
decarbonize the energy and industrial sector to mitigate climate change. An integrated …
decarbonize the energy and industrial sector to mitigate climate change. An integrated …
[HTML][HTML] Robust control for anaerobic digestion systems of Tequila vinasses under uncertainty: A Deep Deterministic Policy Gradient Algorithm
TA Mendiola-Rodriguez… - Digital Chemical …, 2022 - Elsevier
The disposal of high concentrated Tequila vinasses is an environmental threat. An
alternative to solve this problem is through anaerobic digestion processes to reduce organic …
alternative to solve this problem is through anaerobic digestion processes to reduce organic …
Reinforcement learning applied to wastewater treatment process control optimization: Approaches, challenges, and path forward
Wastewater treatment process control optimization is a complex task in a highly nonlinear
environment. Reinforcement learning (RL) is a machine learning technique that stands out …
environment. Reinforcement learning (RL) is a machine learning technique that stands out …