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Article . 2021
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Probabilistic_flow-prediction_in_urban_drainage-systems_for_decision_making

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 25 May 2021Publisher:ZenodoFunded by:EC | DWC
Authors: Frølich, Laura; Greenhill, Barbara;

doi: 10.5281/zenodo.7551805 , 10.5281/zenodo.7551804

Probabilistic_flow-prediction_in_urban_drainage-systems_for_decision_making

Abstract

The presentation includes an outline of the approach of data driven models to predict the inflow to the waste water treatment plant, benefits, main findings and an outlook into the future of digital approaches in Greater Copenhagen.

This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 820954.

Keywords

Machine Learning; Integrated Wastewater Management; Decision Support

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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