Publisher
Springer Science and Business Media LLC
Reference30 articles.
1. G. Singh, D. Kumar, Hybrid prediction models for rainfall forecasting, in 2019 9th International Conference on Cloud Computing, Data Science and Engineering (Confluence), (Noida, India, 2019), pp. 392–396, doi: https://doi.org/10.1109/CONFLUENCE.2019.8776885
2. S. Badhiye, P. Chatur, B. Wakode, Temperature and humidity data analysis for future value prediction using clustering technique: an approach. Int. J. Emerging Technol. Adv. Eng. 2(1), 2250–2459 (2012)
3. M.E. Mann, P.H. Gleick, Climate change and California drought in the 21st century. Proc. Natl. Acad. Sci. 112, 3858–3859 (2015)
4. S. Kundu, S.K. Biswas, D. Tripathi, R. Karmakar, S. Majumdar, S. Mandal, A review on rainfall forecasting using ensemble learning techniques. e-Prime Adv. Electr. Eng Electron. Energy 6, 100296 (2023). https://doi.org/10.1016/j.prime.2023.100296
5. R. Mohd, M. Butt, M. Baba, Comparative study of rainfall prediction modeling techniques (a case study on Srinagar, J&K, India). Asian J. Computer Sci. Technol. India 7(3), 13–19 (2018). https://doi.org/10.51983/ajcst-2018.7.3.1901