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Research on Global Warming Based on ARIMA and LSTM Neural Networks
1
School of Mathematics and Information Sciences, Guangzhou University, Guangzhou, China
*
Author to whom correspondence should be addressed.
JGSR 2024 6(2):102; https://doi.org/10.69610/j.gsr.202407312
Received: 4 July 2024 / Accepted: 24 July 2024 / Published Online: 31 July 2024
Abstract
In recent years, alarming temperature reports have underscored the reality of global warming. This research utilizes ARIMA and LSTM models to analyze historical global temperatures, predict future trends, and identify key influencing factors. Data collected up to 2021, supplemented by interpolation, facilitated the analysis of the temperature anomaly in March 2022. Predictions using ARIMA and LSTM models suggest that the global average temperature will reach 20 degrees Celsius by 2046 and 2065, respectively, with LSTM demonstrating higher accuracy based on RMSE analysis. The study also investigates the impacts of volcanic eruptions, forest fires, and COVID-19 on temperature. Finally, we compiled the research findings and recommendations into relevant suggestions, offering some strategies to address global warming based on the comprehensive analysis.
Keywords:
Global Warming;
ARIMA Model;
LSTM Neural Network;
Temperature Prediction;
Impact Analysis;
Copyright: © 2024 by Wu and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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ACS Style
Wu, X.; Zhao, Z. Research on Global Warming Based on ARIMA and LSTM Neural Networks. Journal of Globe Scientific Reports, 2024, 6, 102. doi:10.69610/j.gsr.202407312
AMA Style
Wu X, Zhao Z. Research on Global Warming Based on ARIMA and LSTM Neural Networks. Journal of Globe Scientific Reports; 2024, 6(2):102. doi:10.69610/j.gsr.202407312
Chicago/Turabian Style
Wu, Xiaoqi; Zhao, Zhiqi 2024. "Research on Global Warming Based on ARIMA and LSTM Neural Networks" Journal of Globe Scientific Reports 6, no.2:102. doi:10.69610/j.gsr.202407312
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