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
ABSTRACT
Carbon dioxide (CO
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