Artificial intelligence projection model for methane emission from livestock in Sarawak
artificial intelligence; emission; emission inventory; fermentation; livestock; manure; methane; optimization; East Malaysia; Malaysia; Sarawak; Bos; Bubalus; Capra hircus; Cervidae; Ovis aries; Suidae
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Penerbit Universiti Kebangsaan Malaysia
2023
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my.uniten.dspace-249612023-05-29T15:29:30Z Artificial intelligence projection model for methane emission from livestock in Sarawak Kiat P.E. Malek M.A. Shamsuddin S.M. 56181299200 55636320055 35619439200 artificial intelligence; emission; emission inventory; fermentation; livestock; manure; methane; optimization; East Malaysia; Malaysia; Sarawak; Bos; Bubalus; Capra hircus; Cervidae; Ovis aries; Suidae Artificial Intelligence is a topical trend employed to solve engineering and industrial problems by virtue of its abilities to deal with data uncertainty such as methane emissions. Hard computing methods are not suitable for determining the optimal emission in a methane emission data set. Instead, soft computing solutions should be considered in an effort to obtain better optimal solutions for industrial problems. This paper utilized the Guidelines provided in the 2006 Intergovernmental Panel on Climate Change (IPCC) to calculate and project methane emissions from selected six livestock in Sarawak, Malaysia. A particle swarm optimization (PSO) model was developed to project future methane emission by using number of livestock as the input parameter. The total CH4 inventory from the enteric fermentation of cattle, buffaloes, goats, sheep, swine and deer in Sarawak decreased from 1.860 to 1.856 Gg when calculation was carried out using the Tier 1 method. This decrease was due to population growth and the emission factors employed. Three statistical measures, root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) were employed for evaluation. PSO has been shown to be able to give an accurate projection. The results of this study provide a benchmark information which can be used by the Sarawak government to develop appropriate policies and mitigation strategies to reduce future carbon footprint in the Sarawak livestock sector. � 2019 Penerbit Universiti Kebangsaan Malaysia. All rights reserved. Final 2023-05-29T07:29:30Z 2023-05-29T07:29:30Z 2019 Article 10.17576/jsm-2019-4807-02 2-s2.0-85071450493 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071450493&doi=10.17576%2fjsm-2019-4807-02&partnerID=40&md5=822e458f081c2d1bbcf45b32a2adc3c8 https://irepository.uniten.edu.my/handle/123456789/24961 48 7 1325 1332 All Open Access, Bronze Penerbit Universiti Kebangsaan Malaysia Scopus |
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artificial intelligence; emission; emission inventory; fermentation; livestock; manure; methane; optimization; East Malaysia; Malaysia; Sarawak; Bos; Bubalus; Capra hircus; Cervidae; Ovis aries; Suidae |
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56181299200 |
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56181299200 Kiat P.E. Malek M.A. Shamsuddin S.M. |
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Kiat P.E. Malek M.A. Shamsuddin S.M. |
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Kiat P.E. Malek M.A. Shamsuddin S.M. Artificial intelligence projection model for methane emission from livestock in Sarawak |
| author_sort |
Kiat P.E. |
| title |
Artificial intelligence projection model for methane emission from livestock in Sarawak |
| title_short |
Artificial intelligence projection model for methane emission from livestock in Sarawak |
| title_full |
Artificial intelligence projection model for methane emission from livestock in Sarawak |
| title_fullStr |
Artificial intelligence projection model for methane emission from livestock in Sarawak |
| title_full_unstemmed |
Artificial intelligence projection model for methane emission from livestock in Sarawak |
| title_sort |
artificial intelligence projection model for methane emission from livestock in sarawak |
| publisher |
Penerbit Universiti Kebangsaan Malaysia |
| publishDate |
2023 |
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1806427413074149376 |