Prediction of CO2 emissions in Saudi Arabia using Nonlinear Grey Bernoulli Model NGBM (1,1) compared with GM (1,1) model
One of the most critical solution for tackling the challenges of global warming and climate change is to study and know the accurate prediction of carbon dioxide (CO2) emissions. Thus, aid to develop appropriate strategic plans that will reduce future damages caused by these emissions into the atmos...
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Main Authors: | , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2022
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Online Access: | http://eprints.utm.my/103805/1/AniShabri2022_PredictionofCO2emissionsinSaudiArabia.pdf http://eprints.utm.my/103805/ http://dx.doi.org/10.1088/1742-6596/2259/1/012011 |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |