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Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology
Bangzhu Zhu
*
,
Yiming Wei
*
Corresponding author for this work
Wuyi University
Beijing Institute of Technology
Research output
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Contribution to journal
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Article
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peer-review
305
Citations (Scopus)
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Engineering
Support Vector Machine
100%
Least Square
100%
Moving Average
100%
Carbon Price
100%
Demonstrates
20%
Particle Swarm Optimization
20%
Nonlinear Regression
20%
Economics, Econometrics and Finance
ARMA Model
100%
Price Forecasting
100%
Autoregressive Integrated Moving Average Model
100%
Time Series Forecasting
50%
European Union Emission Trading System
50%
Linear Model
50%
Mathematics
least square support vector machine
100%
Autoregressive Integrated Moving Average
100%
Autoregressive Integrated Moving Average Model
50%
Neural Network
25%
Time Series Forecasting
25%
Particle Swarm Optimization
25%
Linear Models
25%
Regression Estimation
25%
Nonlinear Regression
25%
Forecasting Ability
25%