A comparative study of ARIMA-GARCH model and artificial neural network model for wind speed forecasting

Wind energy is a noteworthy alternate energy in times of energy crisis. An accurate wind speed forecasting model are essential in determining the suitable location for wind energy harvesting. However, the intermittency and nonlinearity of a wind speed make it difficult to obtain an accurate predic...

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Bibliographic Details
Main Authors: Hussin, Nor Hafizah, Yusof, Fadhilah, Norrulashikin, Siti Mariam
Format: Conference or Workshop Item
Language:English
Published: 2023
Online Access:http://eprints.utem.edu.my/id/eprint/28028/1/A%20comparative%20study%20of%20ARIMA-GARCH%20model%20and%20artificial%20neural%20network%20model%20for%20wind%20speed%20forecasting.pdf
http://eprints.utem.edu.my/id/eprint/28028/
https://pubs.aip.org/aip/acp/article-abstract/2500/1/020009/2875195/A-comparative-study-of-ARIMA-GARCH-model-and?redirectedFrom=fulltext
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Institution: Universiti Teknikal Malaysia Melaka
Language: English