READ ME File For 'Dataset for Machine learning enabled thermoelectric
generator design and optimization'


ReadMe Author: Yuxiao Zhu, 0000-0003-1867-2297

This dataset supports the thesis entitled 'Machine learning enabled thermoelectric
generator design and optimization'. 
AWARDED BY: Univeristy of Southampton 
DATE OF AWARD: 2024

DESCRIPTION OF THE DATA


This dataset contains:
The github addresses of the code used in the Thesis. 
https://github.com/LorewalkerZYX/Bulk-TEG-project is the code for Chapter 4. The github links include the COMSOL simulation files, the TEG ANN training code, ANN sweep parameter code and the ANN-GA code. Also include the trained file and original dataset of ANN training.
https://github.com/LorewalkerZYX/Segmented-TEG-Project is the code for Chapter 5. The github links include the segmented TEG ANN training code, ANN sweep parameter code and the ANN-GA code.  Also include the trained file and original dataset of ANN training.
https://github.com/LorewalkerZYX/Photovoltaic-TEG-Project  is the code for Chapter 7. The github links include the TEG ANN training code, PV ANN training code, ANN sweep parameter code and the ANN-GA code. Also include the trained file and original dataset of ANN training.
Meanwhile, chapters 4, 5, and 6 of Thesis have been published as Journal articles, and this dataset links to the dataset contents of these three articles, including the diagrams dataset.



Date of data collection: July 2024

Information about geographic location of data collection: 



Related projects/Funders:

Related publication:
Yuxiao Zhu, DanielW. Newbrook, Peng Dai, C.H. Kees de Groot, Ruomeng
Huang, Artificial neural network enabled accurate geometrical design and
optimisation of thermoelectric generator, Applied Energy, 2022,
https://doi.org/10.1016/j.apenergy.2021.117800.

Yuxiao Zhu, Daniel Newbrook, Peng Dai, Jian Liu, Kees de Groot, and
Ruomeng Huang, Segmented thermoelectric generator modelling and optimisation
using artificial neural networks by iterative training, Energy &
AI, vol. 12, no. December 2022,
https://doi.org/10.1016/j.egyai.2022.100225.

Yuxiao Zhu, Daniel W. Newbrook, C.H. Kees de Groot, Ruomeng Huang,
Comprehensive analysis of radiative cooling enabled thermoelectric energy
harvesting, JPhys Photonics, vol. 5, 2023,
https://doi.org/10.1088/2515-7647/accac1.

Zhu, Yuxiao and Newbrook, Daniel W. and Peng, Dai and Liu, Jian and Li, Ji-Chao and Wang, Chun-Ming and Chong, Harold M. and de Groot, Kees and Huang, Ruomeng,
Artificial Neural Network Enabled Photovoltaic-Thermoelectric Generator Modelling and Analysis. 
Available at SSRN: https://ssrn.com/abstract=4834580 or http://dx.doi.org/10.2139/ssrn.4834580


Date that the file was created: July, 2024