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The use of artificial neural networks in time series
Thesis (MCom)--Stellenbosch University, 2024.
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| Format: | Thesis |
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Stellenbosch : Stellenbosch University
2025
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| _version_ | 1867613917860069376 |
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| access_status_str | Open Access |
| author | van Zyl, Dirk Cornelius |
| author2 | Steyn, M. L. |
| author_browse | Steyn, M. L. van Zyl, Dirk Cornelius |
| author_facet | Steyn, M. L. van Zyl, Dirk Cornelius |
| author_sort | van Zyl, Dirk Cornelius |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description |
Thesis (MCom)--Stellenbosch University, 2024. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/131963 |
| institution | Stellenbosch University (South Africa) |
| last_indexed | 2026-06-10T12:43:46.104Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/131963 The use of artificial neural networks in time series van Zyl, Dirk Cornelius Steyn, M. L. Stellenbosch University. Faculty of Economic and Management Sciences. Dept. of Statistical and Acturial Science. Wind power -- Forecasting -- South Africa Wind power -- Mathematical models -- South Africa Neural networks (Computer science) -- South Africa Wind power -- South Africa Time-series analysis -- South Africa UCTD Thesis (MCom)--Stellenbosch University, 2024. ENGLISH SUMMARY: In this research project, time series models are used to predict wind speed. The wind speed is recorded at a specific location in South Africa with observations taken every 10 minutes. Basic models, such as the persistence forecasting method, were used as a baseline. Artificial neural networks were used to forecast the wind speed at this site. The deep learning models outperformed the more basic statistical models. AFRIKAANSE OPSOMMING: In hierdie navorsingsprojek word tydreeks modelle gebruik om windspoed te voorspel. Die windspoed is waargeneem op ’n spesifieke plek in Suid-Afrika met observasies elke 10 minute. Eenvoudige modelle soos die naiwe vooruitskattingsmetode is gebruik as ’n basis. Kunsmatige neurale netwerke is gebruik om windspoed by hierdie ligging te voorspel. Die diepleer metodes het beter presteer as die meer basiese statistiese metodes. Masters 2025-05-02T09:44:09Z 2025-05-02T09:44:09Z 2024-12 Thesis https://scholar.sun.ac.za/handle/10019.1/131963 Stellenbosch University xiv, 150 pages : illustrations, maps, includes annexures application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Wind power -- Forecasting -- South Africa Wind power -- Mathematical models -- South Africa Neural networks (Computer science) -- South Africa Wind power -- South Africa Time-series analysis -- South Africa UCTD van Zyl, Dirk Cornelius The use of artificial neural networks in time series |
| title | The use of artificial neural networks in time series |
| title_full | The use of artificial neural networks in time series |
| title_fullStr | The use of artificial neural networks in time series |
| title_full_unstemmed | The use of artificial neural networks in time series |
| title_short | The use of artificial neural networks in time series |
| title_sort | use of artificial neural networks in time series |
| topic | Wind power -- Forecasting -- South Africa Wind power -- Mathematical models -- South Africa Neural networks (Computer science) -- South Africa Wind power -- South Africa Time-series analysis -- South Africa UCTD |
| url | https://scholar.sun.ac.za/handle/10019.1/131963 |
| work_keys_str_mv | AT vanzyldirkcornelius theuseofartificialneuralnetworksintimeseries AT vanzyldirkcornelius useofartificialneuralnetworksintimeseries |