Modeling and forecasting carbon dioxide emission in Pakistan using a hybrid combination of regression and time series models
Forecast Combination
Science (General)
Time series
Demand Forecasting
Electricity Price and Load Forecasting Methods
Carbon emission forecasting
Social Sciences
Organic chemistry
Time series methods
Management Science and Operations Research
Regression methods
Environmental science
Decision Sciences
FOS: Economics and business
Q1-390
Engineering
FOS: Electrical engineering, electronic engineering, information engineering
Series (stratigraphy)
FOS: Mathematics
Econometrics
Electrical and Electronic Engineering
Rebound Effect on Energy Efficiency and Consumption
H1-99
Energy
Renewable Energy, Sustainability and the Environment
Statistics
Load Forecasting
Paleontology
Hybrid combination models
Geology
FOS: Earth and related environmental sciences
Regression
Social sciences (General)
Chemistry
Carbon dioxide
Physical Sciences
Time Series Forecasting Methods
Regression analysis
Energy policy
Probabilistic Forecasting
Mathematics
Research Article
Forecasting
DOI:
10.1016/j.heliyon.2024.e33148
Publication Date:
2024-06-20T00:04:01Z
AUTHORS (5)
ABSTRACT
Carbon dioxide (CO
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CITATIONS (10)
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