Forecasting the annual carbon dioxide emissions of Malaysia using Lasso-GMDH neural network-based
In this study, it was intended to develop an accurate forecasting model for the annually CO2 emission of Malaysia in the short-term. For this purpose, the Group Method of Data Handling (GMDH) model as one of the Neural Networks (NNs) was utilized to structure a nonlinear time-series based forecastin...
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| Format: | Conference or Workshop Item |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/98756/ http://dx.doi.org/10.1109/ISCAIE54458.2022.9794541 |
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| Institution: | Universiti Teknologi Malaysia |