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

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

Flooding in many areas is becoming more prevalent due to factors such as urbanization and climate change, requiring modernization of stormwater infrastructure. Retrofitting standard passive systems with controllable valves/pumps is promising, but requires real-time control (RTC). One method of autom...

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Bibliographic Details
Main Authors: Sami M. Saliba, Benjamin D. Bowes, Stephen Adams, Peter A. Beling, Jonathan L. Goodall
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Water
Subjects:
real-time control
reinforcement learning
smart stormwater systems
urban flooding
Online Access:https://www.mdpi.com/2073-4441/12/11/3222

Internet

https://www.mdpi.com/2073-4441/12/11/3222

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