An enhancement of sliding window algorithm for rainfall forecasting
Various rainfall forecasting models or techniques are presented by researchers to obtain the best result of forecasting. Despite of various techniques and methods, not all of them produce the satisfy result of rainfall forecasting. Therefore, this study proposed a forecasting rainfall method bas...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/22780/1/ICOCI%202017%2023-28.pdf http://repo.uum.edu.my/22780/ http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap01e/PID29-23-28e.pdf |
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| Summary: | Various rainfall forecasting models or techniques are
presented by researchers to obtain the best result of forecasting. Despite of
various techniques and methods, not all of them produce the satisfy result of
rainfall forecasting. Therefore, this study proposed a forecasting rainfall
method based on sliding window algorithm (SWA), in order to obtain the
best rainfall prediction value. The problem statements in this study are
related to unsatisfactory accuracy rainfall output on previous study of SWA.
Hence, SWA is enhanced in order to produce highly accurate prediction
rainfall. The proposed method is tested by using three different rainfall
gauge station data that are taken from the Department of Drainage Irrigation
(DID), Perlis, Malaysia. Then, the rainfall forecasting result is validated by
using mean square error (MSE), and relative geometric root mean squared
error (relative GRMSE). The validation analysis shows that the proposed
method has a higher forecasting accuracy than the previous method of
sliding window algorithm. |
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