RREAD ME File For 'Artificial neural network enabled photovoltaic-thermoelectric generator modelling and analysis'

Dataset DOI: 10.5258/SOTON/D3168

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

This dataset supports the article entitled 'Artificial neural network enabled photovoltaic-thermoelectric generator modelling and analysis'. 


Recommended citation for the data:

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

DESCRIPTION OF THE DATA

This dataset contains:

The dataset of figure plot in the journal.

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.




Date of data collection: July 2024

Information about geographic location of data collection: 

Licence:CC-BY-NC

Related publication:Zhu, Yuxiao (2024) Machine learning enabled thermoelectric generator design and optimization. University of Southampton, Doctoral Thesis, 154pp.

Date that the file was created: July, 2024