Anomaly detection in district heating data - with the Elvaco company
From ISLAB/CAISR
| Title | Anomaly detection in district heating data - with the Elvaco company |
|---|---|
| Summary | Project around predictive maintenance in district heating |
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| Author | |
| Supervisor | Yuantao Fan, Mohamed-Rafik Bouguelia |
| Level | Master |
| Status | Internal Draft |
This project is defined around anomaly detection and predictive maintenance in district heating data. The project will likely use data from the Elvaco company, which includes measurements like the water flow, indoor-temperatures, and other temperatures. The goal is to analyze such data to identify challenges related to it and develop algorithms to detect anomalies, both for when the sensor(s) is bad and when something out of the ordinary (e.g. water leak) happens.
