Intelligent control of combined sewer systems using PySWMM—A Python wrapper for EPA’s Stormwater Management Model
- 14 June 2024
- journal article
- research article
- Published by Elsevier in Environmental Modelling & Software
- Vol. 179
Abstract
No abstract availableKeywords
Funding Information
- U.S. Environmental Protection Agency
This publication has 43 references indexed in Scilit:
- A review of the application of machine learning in water quality evaluationEco-Environment & Health, 2022
- Integrated urban water management with micro storages developed as an IoT-based solution – The smart rain barrelEnvironmental Modelling & Software, 2021
- A review of combined sewer overflows as a source of wastewater-derived emerging contaminants in the environment and their managementEnvironmental Science and Pollution Research, 2021
- Deep reinforcement learning for the real time control of stormwater systemsAdvances in Water Resources, 2020
- Leveraging open source software and parallel computing for model predictive control of urban drainage systems using EPA-SWMM5Environmental Modelling & Software, 2019
- A software framework for assessing the resilience of drinking water systems to disasters with an example earthquake case studyEnvironmental Modelling & Software, 2017
- Modeling and real-time control of urban drainage systems: A reviewAdvances in Water Resources, 2015
- Evolutionary algorithm enhancement for model predictive control and real-time decision supportEnvironmental Modelling & Software, 2015
- Ensemble-based classifiersArtificial Intelligence Review, 2009
- Support-vector networksMachine Learning, 1995