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Description: Artificial Intelligence Application for Wet Weather Operation for Los Angeles...
Artificial Intelligence Application for Wet Weather Operation for Los Angeles Sanitation
Abstract
The City of Los Angeles Sanitation (LASAN) operates a treatment and storage facility to reduce excessive surcharging of the collection system downstream of the plant. To aid in the operation of the facility, LASAN desired to implement a Real Time Decision Support System that aggregates real time flow, level, and precipitation information, weather forecasts, and an artificial intelligence model to provide LASAN staff with recommendations on the operational mode of the facility.
The City of Los Angeles Sanitation (LASAN) operates a treatment and storage facility to reduce excessive surcharging of the collection system downstream of the plant. To aid in the operation of the facility, LASAN desired to implement a Real Time Decision Support System that aggregates real time flow, level, and precipitation information, weather forecasts, and an artificial intelligence model to...
Author(s)
Kwasi BerkoC Bryan TrussellFernando GonzalezDoug WaltersAli PoostiEric FontenotJosh MendesJessie Schroeck
SourceProceedings of the Water Environment Federation
Subject619 Collection Systems Real Time Control: Operations and Optimization
Document typeConference Paper
PublisherWater Environment Federation
Print publication date Sep, 2018
ISSN1938-6478
SICI1938-6478(20180101)2018:7L.5907;1-
DOI10.2175/193864711802766308
Volume / Issue2018 / 7
First / last page(s)5907 - 5914
Copyright2018
Word count83
Subject keywordsReal Time Decision Support SystemArtificial IntelligencePredictive Control

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