Supervised/Unsupervised Electricity Customer Classification - Revision history

Slawek at 19:57, 26 September 2017

2017-09-26T19:57:08Z

Slawek at 15:05, 18 October 2016

2016-10-18T15:05:28Z

Slawek at 00:31, 22 February 2016

2016-02-22T00:31:59Z

Hasmas: Created page with "{{StudentProjectTemplate |Summary=Consumer characterization framework based on knowledge discovery in smart meter data |Keywords=classification, smart meter data, segmentation..."

2014-10-31T11:36:23Z

Created page with "{{StudentProjectTemplate |Summary=Consumer characterization framework based on knowledge discovery in smart meter data |Keywords=classification, smart meter data, segmentation..."

New page

{{StudentProjectTemplate
|Summary=Consumer characterization framework based on knowledge discovery in smart meter data
|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).
|Prerequisites=Cooperating Intelligent Systems and Learning Systems courses
|Supervisor=Sławomir Nowaczyk, Anita Sant'Anna, Hassan Mashad Nemati,
|Level=Master
|Status=Open
}}
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.

@@ Line 7: / Line 7: @@
 |Author=Soniya Ghorbani
 |Level=Master
-|Status=Ongoing
+|Status=Finished
 }}
 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.

@@ Line 3: / Line 3: @@
 |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).
 |Prerequisites=Cooperating Intelligent Systems and Learning Systems courses
 |Supervisor=Sławomir Nowaczyk, Anita Sant'Anna, Hassan Mashad Nemati,
 |Level=Master
-|Status=Open
+|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.