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    A Novel Carbon Price Fluctuation Trend Prediction Method Based on Complex Network and Classification Algorithm by Hua Xu, Minggang Wang

    Published 2021-01-01
    “…The extracted network topology structure information is used to reconstruct the data, which are used to train the model parameters, thus improving the prediction accuracy of the model. …”
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  15. 615

    Forecast of China’s Carbon Emissions Based on ARIMA Method by Longqi Ning, Lijun Pei, Feng Li

    Published 2021-01-01
    “…Then, according to their distinct characteristics, the methods of stationary processing of the difference, moving average, and substituting strong impact points, respectively, are adopted to perform the data preprocessing. Then, model identification, parameter estimation, and model test are carried out to establish the model of ARIMA(p, d, q) for the prediction of the carbon emissions of the four regions, respectively. …”
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