Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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SES 3-3-1: Artificial Intelligence machine learning 2 Location: HSB0 Session Chair: Pete Melville-Shreeve Session Chair: Sebastian Ramsauer | |
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1:45pm - 2:00pm
Digital Twins of Urban Drainage Systems: ML-assisted algorithm for processing sensor data 1: The Institute for Artificial Intelligence Research and Development of Serbia, Serbia; 2: University of Belgrade, Department of Hydraulic and Environmental Engineering, Digital Water Engineering Lab, Belgrade, Serbia Deploying sensors network and collecting and using sensor data is a backbone of Digital Twins (DTs) for engineering systems, such as Urban Drainage Systems (UDS). Such data often exhibit missing values and anomalous readings due to many factors (e.g. sensors malfunction, hardware limitations, weather and site conditions). System analytics in DTs rely on these data and requires postprocessing algorithms capable to detect and reduce problems in collected data. This research aims to develop an advanced ML-powered algorithm for automated data anomaly detection (data validation) and estimation of missing data. This algorithm utilizes an ensemble of ML models to address data quality issues. The algorithm is tested on a synthetic dataset for a part of Belgrade stormwater system. | |