Smart meters' data analysis
From ISLAB/CAISR
| Title | Smart meters' data analysis |
|---|---|
| Summary | Customer characterization, customer classification and anomaly detection |
| Keywords | smart meter data, data mining, supervised/unsupervised machine learning |
| TimeFrame | |
| References | |
| Prerequisites | AI and machine learning |
| Author | |
| Supervisor | Hassan Nemati, Sławomir Nowaczyk |
| Level | Master |
| Status | Open |
The aim of the project is to discover features in the smart meters data that can characterize the customer type and behavior, cluster customers, and detect anomalies in electricity consumption.
