Forecasting the annual carbon dioxide emissions of Malaysia using Lasso-GMDH neural network-based

• Main Author: Shabri, Ani
• Format: Conference or Workshop Item
• Published: 2022
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/98756/; http://dx.doi.org/10.1109/ISCAIE54458.2022.9794541

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...