Forecasting of water intake and supply in water plant in Johor
The safety and availability of water are important for public health, domestic use, food, and drink production process. Since water is essential in daily life, the demand for water intake and water supply are increasing. Moreover, it must be ensured that the water intake is sufficient to supply wate...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/2615/ http://eprints.uthm.edu.my/2615/1/P12645_1475ba29c7ea517b95f9659a9ffb5043.pdf |
| _version_ | 1848887786057236480 |
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| author | Foo, Fong Ying Nor, Maria Elena Azli, Nor Amiratun Najwa |
| author_facet | Foo, Fong Ying Nor, Maria Elena Azli, Nor Amiratun Najwa |
| author_sort | Foo, Fong Ying |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | The safety and availability of water are important for public health, domestic use, food, and drink production process. Since water is essential in daily life, the demand for water intake and water supply are increasing. Moreover, it must be ensured that the water intake is sufficient to supply water towards the consumers. This is vital to avoid water scarcity in society. Thus, the main objective of this research is to forecast the water intake and water supply by adopting exponential smoothing and Box-Jenkins methods. Then, the forecast performance is evaluated by using mean error (ME), mean absolute scaled error (MASE) and mean absolute percentage error (MAPE). Further, the best model is used to forecast water intake and water supply for the next seven days. The daily data for three years of water intake and water supply in one of the water plants in Johor was collected. The forecast capabilities of the two different methods were compared. Both methods are fitted well but, in overall, the triple exponential smoothing method is outperformed compared to the Box-Jenkins method. This is due to the exponential smoothing method to produce less MAPE and ME values. Both datasets shared the same model which imply the water treatment system used is stable and in good condition. Besides, the water intake and water supply by using triple exponential smoothing method is predicted to be decreased in the following seven days. |
| first_indexed | 2025-11-15T19:59:55Z |
| format | Conference or Workshop Item |
| id | uthm-2615 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:59:55Z |
| publishDate | 2021 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-26152021-10-25T07:23:30Z http://eprints.uthm.edu.my/2615/ Forecasting of water intake and supply in water plant in Johor Foo, Fong Ying Nor, Maria Elena Azli, Nor Amiratun Najwa TC401-506 River, lake, and water-supply engineering (General) The safety and availability of water are important for public health, domestic use, food, and drink production process. Since water is essential in daily life, the demand for water intake and water supply are increasing. Moreover, it must be ensured that the water intake is sufficient to supply water towards the consumers. This is vital to avoid water scarcity in society. Thus, the main objective of this research is to forecast the water intake and water supply by adopting exponential smoothing and Box-Jenkins methods. Then, the forecast performance is evaluated by using mean error (ME), mean absolute scaled error (MASE) and mean absolute percentage error (MAPE). Further, the best model is used to forecast water intake and water supply for the next seven days. The daily data for three years of water intake and water supply in one of the water plants in Johor was collected. The forecast capabilities of the two different methods were compared. Both methods are fitted well but, in overall, the triple exponential smoothing method is outperformed compared to the Box-Jenkins method. This is due to the exponential smoothing method to produce less MAPE and ME values. Both datasets shared the same model which imply the water treatment system used is stable and in good condition. Besides, the water intake and water supply by using triple exponential smoothing method is predicted to be decreased in the following seven days. 2021 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/2615/1/P12645_1475ba29c7ea517b95f9659a9ffb5043.pdf Foo, Fong Ying and Nor, Maria Elena and Azli, Nor Amiratun Najwa (2021) Forecasting of water intake and supply in water plant in Johor. In: SCIEMATHIC 2020, 1-2 December 2020, UTHM. https://doi.org/10.1063/5.0054341 |
| spellingShingle | TC401-506 River, lake, and water-supply engineering (General) Foo, Fong Ying Nor, Maria Elena Azli, Nor Amiratun Najwa Forecasting of water intake and supply in water plant in Johor |
| title | Forecasting of water intake and supply in water plant in Johor |
| title_full | Forecasting of water intake and supply in water plant in Johor |
| title_fullStr | Forecasting of water intake and supply in water plant in Johor |
| title_full_unstemmed | Forecasting of water intake and supply in water plant in Johor |
| title_short | Forecasting of water intake and supply in water plant in Johor |
| title_sort | forecasting of water intake and supply in water plant in johor |
| topic | TC401-506 River, lake, and water-supply engineering (General) |
| url | http://eprints.uthm.edu.my/2615/ http://eprints.uthm.edu.my/2615/ http://eprints.uthm.edu.my/2615/1/P12645_1475ba29c7ea517b95f9659a9ffb5043.pdf |