Hasmas: Created page with "{{StudentProjectTemplate |Summary=Customer characterization, customer classification and anomaly detection |Keywords=smart meter data, data mining, supervised/unsupervised mac..."

2018-10-19T10:21:23Z

Created page with "{{StudentProjectTemplate |Summary=Customer characterization, customer classification and anomaly detection |Keywords=smart meter data, data mining, supervised/unsupervised mac..."

New page

{{StudentProjectTemplate
|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,
|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.

Smart meters' data analysis - Revision history

Hasmas: Created page with "{{StudentProjectTemplate |Summary=Customer characterization, customer classification and anomaly detection |Keywords=smart meter data, data mining, supervised/unsupervised mac..."