Edit StudentProjectForm: Short-Term Energy Demand Forecasting

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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:	Hong, Wei-Chiang. Intelligent Energy Demand Forecasting. Vol. 10. Springer, 2013. Ghofrani, M., et al. "Smart meter based short-term load forecasting for residential customers." North American Power Symposium (NAPS), 2011. IEEE, 2011. http://www.sciencedirect.com/science/article/pii/S1877050914011053 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 project is about evaluating different forecasting methods for short term electricity usage and implementing them. There are some available methods e.g. time series, frequency analysis, NN, etc. which student should investigate them and discuss about the most suitable forecasting model.

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Edit StudentProjectForm: Short-Term Energy Demand Forecasting

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