Oosterhof, Jort (2025) Developing an energy price forecasting tool for the simulation model of the Ocean Battery through deep learning. Integration Project, Industrial Engineering and Management.
![[img]](https://fse.studenttheses.ub.rug.nl/style/images/fileicons/text.png) |
Text
bIEM2025OosterhofJ.pdf Restricted to Registered users only until 3 February 2027. Download (23MB) |
|
Text
BaIP-2024-251a-AssessmentForm-Jort-Oosterhof.aiv.mm.pdf Restricted to Registered users only until 3 February 2027. Download (1MB) |
|
Text
Toestemming.pdf Restricted to Registered users only Download (193kB) |
Abstract
Embargo until 03-02-2027.
| Item Type: | Thesis (Integration Project) |
|---|---|
| Supervisor name: | Vakis, A. and Mohebbi, M. and Luning, E.A. |
| Degree programme: | Industrial Engineering and Management |
| Thesis type: | Integration Project |
| Language: | English |
| Date Deposited: | 04 Feb 2025 09:20 |
| Last Modified: | 04 Feb 2025 09:20 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/34668 |
Actions (login required)
 |
View Item |