Development of deep learning predictive models for short-term solar radiation forecasting: case study in Vietnam

Huynh, Anh Ngoc Lan (2020) Development of deep learning predictive models for short-term solar radiation forecasting: case study in Vietnam. [Thesis (PhD/Research)]

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Item Type: Thesis (PhD/Research)
Item Status: Live Archive
Additional Information: Master of Science Research (MSCR) thesis.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 -)
Supervisors: Deo, Ravinesh C.; Abdulla, Shahab; Raj, Nawin; Ali, Mumtaz
Date Deposited: 18 Feb 2021 05:18
Last Modified: 21 Apr 2021 00:22
Uncontrolled Keywords: Deep Learning, LSTM, near real-time solar forecasting, robust local mean decomposition, solar radiation, machine learning
Fields of Research (2008): 14 Economics > 1403 Econometrics > 140305 Time-Series Analysis
Fields of Research (2020): 38 ECONOMICS > 3802 Econometrics > 380205 Time-series analysis
Identification Number or DOI: doi:10.26192/gx6d-tc14
URI: http://eprints.usq.edu.au/id/eprint/41418

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