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Ascertaining Time Series Predictability in Process Control: Case Study on Rainfall Prediction
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Sivapragasam, C, Saravanan, P, Balamurali, S and Muttil, Nitin ORCID: 0000-0001-7758-8365
(2018)
Ascertaining Time Series Predictability in Process Control: Case Study on Rainfall Prediction.
In: International Conference on Civil, Offshore & Environmental Engineering 2018 (ICCOEE 2018), 13 August 2018-14 August 2018, Kuala Lumpur, Malaysia.
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matecconf_iccoee2018_07002.pdf - Published Version Available under License Creative Commons Attribution. Download (535kB) | Preview |
Official URL: https://www.matec-conferences.org/articles/matecco...
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | rainfall; rain gauge; Hurst exponent; NRMSE; predictability; artificial neural network; ANN; Yarra river basin; Victoria |
Subjects: | FOR Classification > 0905 Civil Engineering Faculty/School/Research Centre/Department > College of Science and Engineering |
SWORD Depositor: | Symplectic Elements |
Depositing User: | Symplectic Elements |
Date Deposited: | 06 Mar 2019 01:18 |
Last Modified: | 06 Mar 2019 01:18 |
URI: | http://vuir.vu.edu.au/id/eprint/38040 |
DOI: | https://doi.org/10.1051/matecconf/201820307002 |
ePrint Statistics: | View download statistics for this item |
Citations in Scopus: | 0 - View on Scopus |
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