Modeling and forecasting CO<sub>2</sub> emissions in China and its regions using a novel ARIMA-LSTM model.

Wen, Tingxin; Liu, Yazhou; Bai, Yun He; Liu, Haoyuan

Modeling and forecasting CO₂ emissions in China and its regions using a novel ARIMA-LSTM model.

Wen, Tingxin; Liu, Yazhou; Bai, Yun He; Liu, Haoyuan.

Afiliación

Wen T; College of Business Administration, Liao Ning Technical University, XingCheng, 125100, China.
Liu Y; College of Business Administration, Liao Ning Technical University, XingCheng, 125100, China.
Bai YH; College of Business Administration, Liao Ning Technical University, XingCheng, 125100, China.
Liu H; College of Business Administration, Liao Ning Technical University, XingCheng, 125100, China.

Heliyon ; 9(11): e21241, 2023 Nov.

Article en En | MEDLINE | ID: mdl-37954263

Palabras clave

ARIMA+LSTM; Carbon dioxide emissions; Factors analysis; Forecast

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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