Rainfall Prediction in Henan Province based on the Prophet-SARIMA Model
To more accurately predict the rainfall in Henan Province, this paper uses the Prophet-SARIMA model for forecasting. The Prophet-SARIMA model integrates Prophet's ability to effectively capture trends and special events, as well as SARIMA's accurate characterization of data seasonality and periodicity. After empirical results, the RMSE of the Prophet-SARIMA model is 1.4% lower than that of prophet, 3% lower than that of SARIMA, and 23% lower than that of LSTM, which has certain advantages.
Authors
- Xinna Li
- Guo Shu-mei
- J. Guo (ORCID: https://orcid.org/0000-0002-6402-2124)
- Ning Zhang
Institutions
- PLA Information Engineering University (CN)
- Henan University of Engineering (CN)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1145/3735014.3735914
- Primary Topic
- Hydrological Forecasting Using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00