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Gullifa, Gamal Silvio (2024) ElectricVision: Technical Report. Undergraduate thesis, Dublin, National College of Ireland.
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Abstract
This report will cover from beginning to end the development of Gamal Gullifa’s final computing project about “ElectricVision”. After four years studying computing at NCI, I am entitled to develop a program in order to demonstrate acquired skills during my student career.
During the first pages I will introduce you to my ideas in order to predict or more professional “to forecast” the price of the energy consumed in our near future, and probably will answer to some of your questions, what is this project about? Why have I chosen to work on it? How is it related to Computing? To give you a hint on this summary, during my third year my course had a module on Machine Learning, and I got my attention straight away.
Continuing with the report you will find my objectives, collecting data, creating models and different experiments to forecast the value of the consumed energy in the future.
There will be an explanation of the technologies used, as Python (which we have learned during college) and TensorFlow (which I have acquired after third year, when I got my interest in Machine Learning).
I will take you through the system requirements, what is accepted for this project and what is not, how the data has to be collected and what requisites it needs in order to be useful when predicting the price of the energy consumed.
The design and architecture stage gets a bit more technical and I will go deep into the details, explaining deep learning algorithms and approaches as RNNs, CNN 1D, NBEATS and more.
After we have gone through the non-technical and technical details we will be good to go into the implementation and testing stage to evaluate the project, going to the important part, see the program working and predicting the data.
At the end you will see future steps, as this is the mid point presentation, there will be many more things and finally you can read the conclusion.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Supervisors: | Name Email -, - UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Energy industries Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning |
| Divisions: | School of Computing > Bachelor of Science (Honours) in Computing |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 27 May 2025 14:52 |
| Last Modified: | 27 May 2025 14:52 |
| URI: | https://norma.ncirl.ie/id/eprint/7681 |
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