Smart meters' data analysis
|Title||Smart meters' data analysis|
|Summary||Customer characterization, customer classification and anomaly detection|
|Keywords||smart meter data, data mining, supervised/unsupervised machine learning|
|Prerequisites||AI and machine learning|
|Supervisor||Hassan Nemati, Sławomir Nowaczyk|
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.