swmm_mpc demonstration model
Authors:
Owners:
Resource type: Composite Resource
Storage: The size of this resource is 206.3 KB
Created: Dec 11, 2018 at 9:41 p.m.
Last updated: Sep 25, 2019 at 1:18 a.m.
DOI: 10.4211/hs.73b38d6417ac4352b9dae38a78a47d81
Citation: See how to cite this resource
Sharing Status: Published
Views: 1224
Downloads: 225
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

This is a SWMM5 model that used for demonstrating swmm_mpc, a Python package for simulating model predictive control using SWMM5 as the process model. swmm_mpc is on github: https://github.com/UVAdMIST/swmm_mpc. To run these, you will need to install the swmm_mpc python package or use the Docker image according to the instructions on the github repo readme. This model was used as a demonstration in the following manuscript:

Sadler, J. M., Goodall, J. L., Behl, M., Morsy, M. M., Culver, T. B., & Bowes, B. D. (2019). Leveraging open source software and parallel computing for model predictive control of urban drainage systems using EPA-SWMM5. Environmental Modelling & Software, 120, 104484. https://doi.org/10.1016/j.envsoft.2019.07.009

Subject Keywords

Content

References

Related Resources

This resource is described by: Sadler, J. M., Goodall, J. L., Behl, M., Morsy, M. M., Culver, T. B., & Bowes, B. D. (2019). Leveraging open source software and parallel computing for model predictive control of urban drainage systems using EPA-SWMM5. Environmental Modelling & Software, 120, 104484. https://doi.org/10.1016/j.envsoft.2019.07.009

How to Cite

Sadler, J. (2019). swmm_mpc demonstration model, HydroShare, https://doi.org/10.4211/hs.73b38d6417ac4352b9dae38a78a47d81

This resource is shared under the Creative Commons Attribution CC BY.

  http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required