Nexus between energy usability, economic indicators and environmental sustainability in four asean countries: A non-linear autoregressive exogenous neural network modelling approach
This study investigates the use of a non-linear autoregressive exogenous neural network (NARX) model to investigate the nexus between energy usability, economic indicators, and carbon dioxide (CO2) emissions in four Association of South East Asian Nations (ASEAN), namely Malaysia, Thailand, Indonesi...
Saved in:
Main Authors: | Mustapa S.I., Ayodele F.O., Ayodele B.V., Mohammad N. |
---|---|
其他作者: | 36651549700 |
格式: | Article |
出版: |
MDPI AG
2023
|
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Long-term energy demand in Malaysia as a function of energy supply: A comparative analysis of Non-Linear Autoregressive Exogenous Neural Networks and Multiple Non-Linear Regression Models
由: Ayodele B.V., et al.
出版: (2023) -
Effect of activation function in modeling the nexus between carbon tax, CO2 emissions, and gas-fired power plant parameters
由: Ayodele O.F., et al.
出版: (2023) -
The Potential of Renewable Energy Green Financing through Carbon Taxation to Achieve Net-Zero Emissions Target
由: Ayodele F.O., et al.
出版: (2024) -
Bio-hydrogen production from the photocatalytic conversion of wastewater: Parametric analysis and data-driven modelling using nonlinear autoregressive with exogeneous input and back-propagated multilayer perceptron neural networks
由: Kanthasamy, R., et al.
出版: (2023) -
Non-Linear Autoregressive with exogenous input (Narx) chiller plant prediction model
由: Azlee, Zabidi, et al.
出版: (2021)