A novel global average temperature prediction model——based on GM-ARIMA combination model
Author:
Funder
National Natural Science Foundation of China
IUI Cooperation Project of Zhuhai China
Innovation Project of Guangxi Graduate Education
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-023-01179-1.pdf
Reference52 articles.
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2. Adebayo T, Awosusi A, Kirikkaleli D et al (2021) Can CO2 emissions and energy consumption determine the economic performance of South Korea? A time series analysis. Environ Sci Pollut Res 28:38969–38984. https://doi.org/10.1007/s11356-021-13498-1
3. Akyol M, Uçar E (2021) Carbon footprint forecasting using time series data mining methods: the case of Turkey. Environ Sci Pollut Res 28:38552–38562. https://doi.org/10.1007/s11356-021-13431-6
4. Astsatryan H, Grigoryan H, Poghosyan A et al (2021) Air temperature forecasting using artificial neural network for Ararat valley. Earth Sci Inform 14:711–722. https://doi.org/10.1007/s12145-021-00583-9
5. Bates J, Granger C (1969) The combination of forecasts. J Oper Res Soc 20:451–468. https://doi.org/10.1057/jors.1969.103
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