Forecast of China’s Carbon Emissions Based on ARIMA Method
Global warming caused by carbon emissions has become increasingly prominent. As the world’s second-largest economy, China is under enormous pressure to cut down its carbon dioxide emissions. It is urgent to seek effective methods to forecast carbon emissions and put forward the pointed and effective...
Saved in:
Main Authors: | Longqi Ning, Lijun Pei, Feng Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2021/1441942 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Nonlinear ARIMA Models with Feedback SVR in Financial Market Forecasting
by: Shiwei Su
Published: (2021-01-01) -
Unfolding the potential of the ARIMA model in forecasting maize production in Tanzania
by: Joseph Lwaho, et al.
Published: (2023-11-01) -
Forecasting of Energy Production for Photovoltaic Systems Based on ARIMA and ANN Advanced Models
by: Laurentiu Fara, et al.
Published: (2021-01-01) -
Estimating and forecasting bitcoin daily prices using ARIMA-GARCH models
by: Quang Phung Duy, et al.
Published: (2024-10-01) -
A Data Decomposition and End-to-End Optimization-Based Monthly Carbon Emission Intensity of Electricity Forecasting Method
by: Yue Yan, et al.
Published: (2025-01-01)