Rainfall Data-Based Time Series Forecasting Using Rolling Forecasting Model for Indian Geographic Area
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-0098-3_15
Reference16 articles.
1. Sanjay J et al (2020) Temperature changes in India. In: Krishnan R, Sanjay J, Gnanaseelan C, Mujumdar M, Kulkarni A, Chakraborty S (eds) Assessment of climate change over the Indian Region. Springer, Singapore. https://doi.org/10.1007/978-981-15-4327-2_2
2. Kulkarni A et al (2020) Precipitation changes in India. In: Krishnan R, Sanjay J, Gnanaseelan C, Mujumdar M, Kulkarni A, Chakraborty S (eds) Assessment of climate Change over the Indian Region. Springer, Singapore. https://doi.org/10.1007/978-981-15-4327-2_3
3. Pant GB, Kumar PP, Revadekar JV, Singh N (2018) Climate change: central himalayan perspective. In: Climate change in the Himalayas. Springer, Cham. https://doi.org/10.1007/978-3-319-61654-4_5
4. Uttarakhand Disaster 2013 (2018) National institute of disaster management, ministry of home affairs, Government of India. 2013. p 41. Retrieved 14 December 2018
5. Ridwan WM, Sapitang M, Aziz A, Kushiar KF, Ahmed AN, El-Shafie A (2021) Rainfall forecasting model using machine learning methods: case study Terengganu, Malaysia. Ain Shams Eng J 12(2):1651–1663. ISSN 2090–4479. https://doi.org/10.1016/j.asej.2020.09.011
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