Mitigating Climate Change: Utilizing Global Warming Through ARIMA Modelling

• Published in: 2024 First International Conference on Data, Computation and Communication (ICDCC) pp. 206 - 211
• Main Author: Laskar, Sayantika
• Format: Conference Proceeding
• Language: English
• Published: IEEE 29.11.2024
• Subjects: Artificial Intelligence; Biological system modeling; climate change; Forecasting; future forecasting; Global warming; Land surface temperature; Meteorology; Ocean temperature; Prevention and mitigation; Renewable energy sources; time series; Time series analysis; time-forecasting; Water resources
• DOI: 10.1109/ICDCC62744.2024.10960961

Climate change and global warming are some surging subjects characterized by unprecedented temperature increases in temperature, raining patterns and rising sea levels, contributed largely by human activities such as deforestation and burning fossils, etc. This paper concentrates on comprehensive dataset including parameters such as global temperatures on land by city, state, country, etc. collected from the internet and processed to predict and augment the future forecasting of the climate in the upcoming years. The use of time-forecasting algorithms has been used for the analysis and prediction process. The dataset used is a time series dataset and thus the use of ARIMA (Autoregressive Integrated Moving Average) modelling technique for an accurate forecast. The paper has undergone substantial research and studies to bring the finest results and assist humans towards a better future. Additionally, it provides insights about possible mediation and preventive measures, contributing to climate control awareness. Artificial Intelligence has made enormous changes in the field of nature conservation and is tending to contribute more in the upcoming future. This paper deals an aspect where we can use AI and its various tools in order to analyze the various aspects of global warming and find solutions for the upcoming problems.