Combined Sewer Overflow and Flooding Mitigation Through a Reliable Real‐Time Control Based on Multi‐Reinforcement Learning and Model Predictive Control

Deep reinforcement learning for the real time control of stormwater systems

(2020) Abhiram Mullapudi et al.   ADVANCES IN WATER RESOURCES

Urban flood risk assessment and analysis with a 3D visualization method coupling the PP-PSO algorithm and building data

(2020) Guozheng Zhi et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Integrated pollution-based real-time control of sanitation systems

(2020) Congcong Sun et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Deep Reinforcement Learning with Uncertain Data for Real-Time Stormwater System Control and Flood Mitigation

(2020) Sami M. Saliba et al.   Water

An integrated assessment of drainage system reconstruction based on a drainage network model

(2019) Zhenliang Liao et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

A 3D dynamic visualization method coupled with an urban drainage model

(2019) Guozheng Zhi et al.   JOURNAL OF HYDROLOGY

Model predictive control of urban drainage systems: A review and perspective towards smart real-time water management

(2018) Nadia Schou Vorndran Lund et al.   CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY

Performance evaluation of real time control in urban wastewater systems in practice: Review and perspective

(2017) Petra van Daal et al.   ENVIRONMENTAL MODELLING & SOFTWARE

An integrated assessment of urban flooding mitigation strategies for robust decision making

(2017) Jiaqiang Xie et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Modelling the effects of water diversion and combined sewer overflow on urban inland river quality

(2017) Xianyong Gu et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Smarter Stormwater Systems

(2016) Branko Kerkez et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Modeling and real-time control of urban drainage systems: A review

(2015) L. García et al.   ADVANCES IN WATER RESOURCES

Relationships between rainfall and Combined Sewer Overflow (CSO) occurrences

(2015) A. Mailhot et al.   JOURNAL OF HYDROLOGY

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Output-feedback control of combined sewer networks through receding horizon control with moving horizon estimation

(2015) Bernat Joseph-Duran et al.   WATER RESOURCES RESEARCH

A game theory–reinforcement learning (GT–RL) method to develop optimal operation policies for multi-operator reservoir systems

(2014) Kaveh Madani et al.   JOURNAL OF HYDROLOGY

Model reduction in model predictive control of combined water quantity and quality in open channels

(2013) M. Xu et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A Systematic View Is Key: The Successful Case of Suzhou Creek Rehabilitation

(2013) Zuxin Xu et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

A multiobjective reinforcement learning approach to water resources systems operation: Pareto frontier approximation in a single run

(2013) A. Castelletti et al.   WATER RESOURCES RESEARCH

An efficient initialization approach of Q-learning for mobile robots

(2012) Yong Song et al.   INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS

Stock trading with cycles: A financial application of ANFIS and reinforcement learning

(2010) Zhiyong Tan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multiple objective optimal control of integrated urban wastewater systems

(2007) Guangtao Fu et al.   ENVIRONMENTAL MODELLING & SOFTWARE