Edit StudentProjectForm: Supervised/Unsupervised Electricity Customer Classification

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Summary:	MANDATORY: (provide a one-line* summary of the project)*
Programme:	OPTIONAL: (Name and the number of credits)
Keywords:	OPTIONAL: (Give 4-5 keywords)
TimeFrame:	MANDATORY: (Indicate time for the project, for example, Fall 2024)
References:	Schneider, Kevin P., et al. "Evaluation of conservation voltage reduction (CVR) on a national level." Pacific Northwest National Laboratory report (2010). OPTIONAL: (Give 2-3 references for students to start with)
Prerequisites:	Cooperating Intelligent Systems and Learning Systems courses OPTIONAL: (Courses, any other important information)
Supervisor(s):	MANDATORY: (can be multiple names, coma-separated)
Examiner:	OPTIONAL: (Name of project Examiner)
Author(s):	OPTIONAL: (can be multiple names, coma-separated)
Level:	MANDATORY: choose one, preferably <Master>
Status:	MANDATORY: choose <Open> when the topic is ready for students to select

Project description (free text)

Give a concise project description. Include:

Research question
Whether it’s more software or hardware related
A very brief description of 3-4 work packages
Deliverables/outcomes/results

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.

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Edit StudentProjectForm: Supervised/Unsupervised Electricity Customer Classification

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