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Dataset in support of the article 'Artificial neural network enabled photovoltaic-thermoelectric generator modelling and analysis'

Dataset in support of the article 'Artificial neural network enabled photovoltaic-thermoelectric generator modelling and analysis'
Dataset in support of the article 'Artificial neural network enabled photovoltaic-thermoelectric generator modelling and analysis'
This is the dataset for article Artificial neural network enabled photovoltaic-thermoelectric generator modelling and analysis. Dataset contains The dataset of figure plot in the journal article Y Zhu et al (2024) 'Artificial neural network enabled photovoltaic-thermoelectric generator modelling and analysis' Case Studies in Thermal Engineering, 61, 105053. https://github.com/LorewalkerZYX/Photovoltaic-TEG-Project is the code for Chapter 7 of the related thesis. 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.
University of Southampton
Zhu, Yuxiao
0dd2c99f-c036-41dd-817d-4db9ecb051e4
Huang, Ruomeng
c6187811-ef2f-4437-8333-595c0d6ac978
Zhu, Yuxiao
0dd2c99f-c036-41dd-817d-4db9ecb051e4
Huang, Ruomeng
c6187811-ef2f-4437-8333-595c0d6ac978

Zhu, Yuxiao and Huang, Ruomeng (2024) Dataset in support of the article 'Artificial neural network enabled photovoltaic-thermoelectric generator modelling and analysis'. University of Southampton doi:10.5258/SOTON/D3168 [Dataset]

Record type: Dataset

Abstract

This is the dataset for article Artificial neural network enabled photovoltaic-thermoelectric generator modelling and analysis. Dataset contains The dataset of figure plot in the journal article Y Zhu et al (2024) 'Artificial neural network enabled photovoltaic-thermoelectric generator modelling and analysis' Case Studies in Thermal Engineering, 61, 105053. https://github.com/LorewalkerZYX/Photovoltaic-TEG-Project is the code for Chapter 7 of the related thesis. 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.

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More information

Published date: 2024

Identifiers

Local EPrints ID: 493632
URI: http://eprints.soton.ac.uk/id/eprint/493632
PURE UUID: 99d48c60-bc14-4e56-9641-d4b4f2375296
ORCID for Ruomeng Huang: ORCID iD orcid.org/0000-0003-1185-635X

Catalogue record

Date deposited: 09 Sep 2024 17:07
Last modified: 10 Sep 2024 01:44

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Contributors

Creator: Yuxiao Zhu
Creator: Ruomeng Huang ORCID iD

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