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Simulation and Numerical Solutions in
Engineering
Modelling, predicting, and verifying the accuracy of models are vital skills in engineering and other fields.
This assignment will assess your ability to develop and validate statistical and machine learning models using
MATLAB, and in particular, the Statistics and Machine Learning Toolbox.
1 Key information
For this assignment, you need to complete two steps:
1. Complete the MATLAB Machine Learning Onramp and upload your certificate to the assignment
box. This is an individual assignment and each person needs to complete the training individually. This
is worth 5% of your total mark1
.
2. Perform statistical analysis and machine learning on the given dataset, write a report and submit it to
the assignment box. This is group work and you will work with the same group member as your lab to
complete it. You only need to submit one report as part of the group. This is worth 20% of your total
mark.
2 Background
This assignment asks you to explore and analyse a publicly available data set of your choice from the following
list.
1. Ausgrid distribution zone substation data: Ausgrid operates a network with over 180 zone substations.
These substations form the boundary between the sub-transmission network and the distribution (11kV)
network. Ausgrid is making available historical interval demand data (in Megawatts) for all zone
substations not subject to third party privacy concerns.