Toward the full utilization of storage capacity: Urban drainage system operation integrating deep reinforcement learning and green infrastructure.

Wu X, Tian W, Zhang Z, Stocchino A, He X, Liao Z, Yuan Z

Open source

DOI
10.1016/j.watres.2026.126788
Published
2026 Aug 24
Container
Water research
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1016/j.watres.2026.126788,
  title = {Toward the full utilization of storage capacity: Urban drainage system operation integrating deep reinforcement learning and green infrastructure.},
  author = {Wu X and Tian W and Zhang Z and Stocchino A and He X and Liao Z and Yuan Z},
  year = {2026},
  journal = {Water research},
  doi = {10.1016/j.watres.2026.126788},
  url = {https://doi.org/10.1016/j.watres.2026.126788}
}

RIS

TY  - JOUR
TI  - Toward the full utilization of storage capacity: Urban drainage system operation integrating deep reinforcement learning and green infrastructure.
AU  - Wu X
AU  - Tian W
AU  - Zhang Z
AU  - Stocchino A
AU  - He X
AU  - Liao Z
AU  - Yuan Z
PY  - 2026
JO  - Water research
DO  - 10.1016/j.watres.2026.126788
UR  - https://doi.org/10.1016/j.watres.2026.126788
ER  -

APA

X, W., W, T., Z, Z., A, S., X, H., Z, L., & Z, Y. (2026). Toward the full utilization of storage capacity: Urban drainage system operation integrating deep reinforcement learning and green infrastructure.. Water research. https://doi.org/10.1016/j.watres.2026.126788

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