Difference between revisions of "Supervised/Unsupervised Electricity Customer Classification"
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(Created page with "{{StudentProjectTemplate |Summary=Consumer characterization framework based on knowledge discovery in smart meter data |Keywords=classification, smart meter data, segmentation...") |
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|Keywords=classification, smart meter data, segmentation, deman response | |Keywords=classification, smart meter data, segmentation, deman response | ||
|References=Schneider, Kevin P., et al. "Evaluation of conservation voltage reduction (CVR) on a national level." Pacific Northwest National Laboratory report (2010). | |References=Schneider, Kevin P., et al. "Evaluation of conservation voltage reduction (CVR) on a national level." Pacific Northwest National Laboratory report (2010). | ||
| − | |Prerequisites=Cooperating Intelligent Systems and Learning Systems courses | + | |Prerequisites=Cooperating Intelligent Systems and Learning Systems courses |
| − | |Supervisor=Sławomir Nowaczyk, Anita Sant'Anna, Hassan Mashad Nemati, | + | |Supervisor=Sławomir Nowaczyk, Anita Sant'Anna, Hassan Mashad Nemati, |
|Level=Master | |Level=Master | ||
| − | |Status= | + | |Status=Ongoing |
}} | }} | ||
The aim of the project is investigating different kind of supervised and unsupervised learning algorithms for electricity customers classification. Students will have access to hourly energy consumption data from different type of users. The result of customers classification should divide users into domestic, commercial, industry and etc. groups. | The aim of the project is investigating different kind of supervised and unsupervised learning algorithms for electricity customers classification. Students will have access to hourly energy consumption data from different type of users. The result of customers classification should divide users into domestic, commercial, industry and etc. groups. | ||
Revision as of 01:31, 22 February 2016
| Title | Supervised/Unsupervised Electricity Customer Classification |
|---|---|
| Summary | Consumer characterization framework based on knowledge discovery in smart meter data |
| Keywords | classification, smart meter data, segmentation, deman response |
| TimeFrame | |
| References | Schneider, Kevin P., et al. "Evaluation of conservation voltage reduction (CVR) on a national level." Pacific Northwest National Laboratory report (2010). |
| Prerequisites | Cooperating Intelligent Systems and Learning Systems courses |
| Author | |
| Supervisor | Sławomir Nowaczyk, Anita Sant'Anna, Hassan Mashad Nemati |
| Level | Master |
| Status | Ongoing |
The aim of the project is investigating different kind of supervised and unsupervised learning algorithms for electricity customers classification. Students will have access to hourly energy consumption data from different type of users. The result of customers classification should divide users into domestic, commercial, industry and etc. groups.
