Year: 2024
Type: conference-paper
Abstract: 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: Shumei Guo, Jie Guo, Xinna Li, Ning Zhang
Institution: PLA Information Engineering University
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4412524831