Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed co-gasification of biomass wastes from oil palm
The quest to attain net-zero emissions has increased the drive for more renewable energy potential from the co-gasification of biomass. The co-gasification of coconut shell and oil palm wastes is a potential technological route to produce hydrogen-rich syngas. However, the complexity of the gaseous-...
| Main Authors: | Ayodele, B.V., Mustapa, S.I., Kanthasamy, R., Mohammad, N., AlTurki, A., Babu, T.S. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.33186 / |
| Published: |
Elsevier Ltd
2022
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131383656&doi=10.1016%2fj.ijhydene.2022.05.066&partnerID=40&md5=dcb2acc4655ef1ea4c5ffd87b286cd47 http://eprints.utp.edu.my/33186/ |
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