Analysis of hybrid neural networks for forecasting renewable energy in South Africa

Thesis

Open access

Selaki Ivy Ramarope

MPhil, University of Johannesburg

2023

Handle:

https://hdl.handle.net/10210/512104

Abstract

Neural networks (Computer science)

Artificial intelligence

Electrical engineering

Renewable energy sources

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RAMAROPE MPHIL FINAL THESIS 2ND MARCH 2024 (1) (1)40.98 MBDownload View

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Title: Analysis of hybrid neural networks for forecasting renewable energy in South Africa
Creators - without role: Selaki Ivy Ramarope
Contributors - without role: Tien -Chien Jen
Awarding Institution: University of Johannesburg; MPhil
Theses and Dissertations: MPhil, University of Johannesburg
Identifiers: 9945604607691
Copyright: University of Johannesburg
Academic Unit: Department of Mechanical Engineering Science; Faculty of Engineering & the Built Environment; University of Johannesburg
Language: English
Resource Type: Thesis