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- Vol. 5 Issue 4
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Weather Forecasting Using Machine Learning
Authors
1Student, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India. 2Assistant Professor, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India.
Article Information
- Published In
- Volume 5, Issue 4 (2025)
- Published Online
- July-August 2025
- Pages
- 35-38
- Article Type
- Original Article
- Check for updates
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References
1. M. C. Esfahanipour and S. Aghamiri, “Weather forecasting using machine learning: A review,” IEEE Access, vol. 9, pp. 10636–0656, 2021, doi10.1109/ACCESS.2021.3050822.
2. M. Kumar and S. Singh, “Temperature and humidity prediction using linear regression and deep learning,” IEEE Sensors Letters, vol. 5, no. 4, pp. 1–4, 2021, doi: 10.1109/LSENS.2021.3064659.
3. Y. Tang et al., “Deep Learning Forecasting of Meteorological Time Series Data,” IEEE Access, vol. 8, pp. 38316–38328, 2020, doi:10.1109/ACCESS.2020.2975181.
4. M. S. Azad and H. Rahman, “Short-term weather prediction using RNN-LSTM model,” in Proc. IEEE TENCON, 2020, pp. 119–123, doi: 10.1109/TENCON50793.2020.9293744.
5. A. Dutta and R. Dutta, “Comparative analysis of regression techniques for temperature prediction,” IEEE India Conference (INDICON), 2019, doi: 10.1109/INDICON47234.2019.9030219.
6. S. Alam and N. R. Paul, “A neural network based real-time weather forecasting model,” Proc. IEEE ICMLDE, 2020, pp. 55–60,doi: 10.1109/ICMLDE49283.2020.9317002.
7. M. S. Islam, “Machine Learning Algorithms for Weather Forecasting: A Comparative Study,” IEEE Access, vol. 10, pp. 59813–59827, 2022, doi: 10.1109/ACCESS.2022.3181356.
8. D. Gupta and A. K. Garg, “Design and deployment of a weather forecasting system using Flask,” in Proc. IEEE ICACCT, 2021, pp. 112–117.
9. H. Zhao et al., “Hybrid deep learning models for meteorological time-series prediction,” IEEE Access, vol. 9, pp. 54405–54417, 2021, doi: 10.1109/ACCESS.2021.3071410.
10. K. Liu and L. Zhang, “AI-based forecasting for weather anomalies using regression trees,” IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 12, pp. 2036–2040, 2021, doi: 10.1109/LGRS.2020.3048191.
11. A. F. A. A. Rahim et al., “Rainfall prediction using neural network models,” IEEE Access, vol. 8, pp. 68898–68911, 2020, doi: 10.1109/ACCESS.2020.2986046.
12. A. N. El-Mahdy et al., “Real-time weather prediction using machine learning integrated with IoT,” IEEE Internet of Things Journal, vol. 9, no. 2, pp. 1084–1096, 2022, doi: 10.1109/JIOT.2021.3071224.
13. B. Wang et al., “A PyTorch-based framework for time-series weather modeling,” IEEE Access, vol. 8, pp. 136789–136799, 2020, doi: 10.1109/ACCESS.2020.3011487.
14. Y. Chen and X. Zhou, “Smart weather forecast using regression models with optimized hyperparameters,” IEEE Access, vol. 7, pp. 119299–119309, 2019, oi: 10.1109/ACCESS.2019.2937162.
15. H. Khan et al., “Machine learning in climate and environmental sciences: A comprehensive review,” IEEE Access, vol. 10, pp. 35093–35114, 2022, doi: 10.1109/ACCESS.2022.3161546.
16. R. Pan and M. Kaur, “Weather forecast using deep learning techniques,” IEEE ICCSP, 2020, doi: 10.1109/ICCSP48568.2020.9182227.
17. S. Sarkar and R. Panda, “Application of Artificial Neural Networks for weather data prediction,” IEEE ICAST, 2021, pp. 75–80, doi: 10.1109/ICAST50382.2021.9466079.
18. N. Sharma and S. Garg, “Deploying machine learning-based weather prediction using REST APIs and Flask,” IEEE ISCON, 2020, pp. 214–218, doi: 10.1109/ISCON50989.2020.9341097.
19. A. Banerjee et al., “Predicting temperature and humidity using ensemble ML models,” IEEE ICAC3, 2021, doi: 10.1109/ICAC35144.2021.9696540.
20. M. Jain and S. Singh, “Performance evaluation of machine learning models for temperature prediction,” IEEE Access, vol. 9, pp.99054–99062, 2021, doi: 10.1109/ACCESS.2021.3095582.
2. M. Kumar and S. Singh, “Temperature and humidity prediction using linear regression and deep learning,” IEEE Sensors Letters, vol. 5, no. 4, pp. 1–4, 2021, doi: 10.1109/LSENS.2021.3064659.
3. Y. Tang et al., “Deep Learning Forecasting of Meteorological Time Series Data,” IEEE Access, vol. 8, pp. 38316–38328, 2020, doi:10.1109/ACCESS.2020.2975181.
4. M. S. Azad and H. Rahman, “Short-term weather prediction using RNN-LSTM model,” in Proc. IEEE TENCON, 2020, pp. 119–123, doi: 10.1109/TENCON50793.2020.9293744.
5. A. Dutta and R. Dutta, “Comparative analysis of regression techniques for temperature prediction,” IEEE India Conference (INDICON), 2019, doi: 10.1109/INDICON47234.2019.9030219.
6. S. Alam and N. R. Paul, “A neural network based real-time weather forecasting model,” Proc. IEEE ICMLDE, 2020, pp. 55–60,doi: 10.1109/ICMLDE49283.2020.9317002.
7. M. S. Islam, “Machine Learning Algorithms for Weather Forecasting: A Comparative Study,” IEEE Access, vol. 10, pp. 59813–59827, 2022, doi: 10.1109/ACCESS.2022.3181356.
8. D. Gupta and A. K. Garg, “Design and deployment of a weather forecasting system using Flask,” in Proc. IEEE ICACCT, 2021, pp. 112–117.
9. H. Zhao et al., “Hybrid deep learning models for meteorological time-series prediction,” IEEE Access, vol. 9, pp. 54405–54417, 2021, doi: 10.1109/ACCESS.2021.3071410.
10. K. Liu and L. Zhang, “AI-based forecasting for weather anomalies using regression trees,” IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 12, pp. 2036–2040, 2021, doi: 10.1109/LGRS.2020.3048191.
11. A. F. A. A. Rahim et al., “Rainfall prediction using neural network models,” IEEE Access, vol. 8, pp. 68898–68911, 2020, doi: 10.1109/ACCESS.2020.2986046.
12. A. N. El-Mahdy et al., “Real-time weather prediction using machine learning integrated with IoT,” IEEE Internet of Things Journal, vol. 9, no. 2, pp. 1084–1096, 2022, doi: 10.1109/JIOT.2021.3071224.
13. B. Wang et al., “A PyTorch-based framework for time-series weather modeling,” IEEE Access, vol. 8, pp. 136789–136799, 2020, doi: 10.1109/ACCESS.2020.3011487.
14. Y. Chen and X. Zhou, “Smart weather forecast using regression models with optimized hyperparameters,” IEEE Access, vol. 7, pp. 119299–119309, 2019, oi: 10.1109/ACCESS.2019.2937162.
15. H. Khan et al., “Machine learning in climate and environmental sciences: A comprehensive review,” IEEE Access, vol. 10, pp. 35093–35114, 2022, doi: 10.1109/ACCESS.2022.3161546.
16. R. Pan and M. Kaur, “Weather forecast using deep learning techniques,” IEEE ICCSP, 2020, doi: 10.1109/ICCSP48568.2020.9182227.
17. S. Sarkar and R. Panda, “Application of Artificial Neural Networks for weather data prediction,” IEEE ICAST, 2021, pp. 75–80, doi: 10.1109/ICAST50382.2021.9466079.
18. N. Sharma and S. Garg, “Deploying machine learning-based weather prediction using REST APIs and Flask,” IEEE ISCON, 2020, pp. 214–218, doi: 10.1109/ISCON50989.2020.9341097.
19. A. Banerjee et al., “Predicting temperature and humidity using ensemble ML models,” IEEE ICAC3, 2021, doi: 10.1109/ICAC35144.2021.9696540.
20. M. Jain and S. Singh, “Performance evaluation of machine learning models for temperature prediction,” IEEE Access, vol. 9, pp.99054–99062, 2021, doi: 10.1109/ACCESS.2021.3095582.
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