CO2 Emission Prediction Based on Prophet, ARIMA and LSTM
DOI:
https://doi.org/10.54097/4k6yfr37Keywords:
Time series forecasting; ARIMA; Prophet; LSTM.Abstract
As a matter of fact, with the carbon emissions continuing to rise in recent years, various problems caused by global warming has become more and more serious contemporarily. With this in mind, it is necessary to construct certain models to realize the prediction of the emission. To be specific, this study has come up with an idea to predict the amount of CO2 emission in the future with Python programs. At the same time, to have a further knowledge of the algorithms used, this study has also compared the reliability of different models. According to the analysis, the results show that CO2 emissions will keep rising at a steady pace in the future. In addition, the comparisons show that models based on machine learning tend to be more accurate. Overall, the investigations shed light on not only the environmental protection issue but also a future vision of time series forecasting.
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