Urban Rainfall Forecasting Method Based on Multi-model Prediction Information Fusion

被引：0

作者：

Huang, Liu ^{[1
]}

Liu, Xuejun ^{[2
]}

Wei, Heyi ^{[3
]}

机构：

[1] China Southern Airline Hubei Branch, Wuhan, Hubei, Peoples R China

[2] Wuhan Univ, Sch Urban Design, Wuhan, Hubei, Peoples R China

[3] Jiangxi Normal Univ, Coll City Construct, Nanchang, Jiangxi, Peoples R China

来源：

2020 THE 6TH IEEE INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT (ICIM 2020) | 2020年

基金：

中国国家自然科学基金;

关键词：

rainfall prediction; SVR model; RBF model; multi-model combination; urban rainfall;

D O I：

10.1109/icim49319.2020.244700

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In order to improve the accuracy of rainfall forecasting in Wuhan, this paper proposes a multi-model information fusion forecasting method based on SVR model and RBI; model. The rainfall data of Wuhan during 1980-2016 were used to verify the practicability of the multi -model information fusion method. The research results show that compared with the single forecast model, the multi-model information fusion forecasting method can improve the forecasting accuracy, and it can be used for rainfall forecasting to provide data support for urban management departments.

引用

下载

页码：210 / 214

页数：5

共 50 条

[21] Pathogenic virus detection method based on multi-model fusion
Zhao, Xiaoyong
Wang, Jingwei
PROCEEDINGS OF THE 2020 INTERNATIONAL CONFERENCE ON COMPUTER, INFORMATION AND TELECOMMUNICATION SYSTEMS (CITS), 2020, : 89 - 92
[22] A simple multi-model prediction method
Strutzel, Flavio A. M.
Bogle, I. David L.
CHEMICAL ENGINEERING RESEARCH & DESIGN, 2018, 138 : 51 - 76
[23] Prediction of glass-forming ability based on multi-model fusion
Zeng, Yangchuan
Tian, Zean
Zheng, Quan
Jiang, Mingxiang
Peng, Yikun
JOURNAL OF NON-CRYSTALLINE SOLIDS, 2024, 623
[24] Multi-Model Fusion Method and its Application in Prediction of Stock Index Movements
Zhang, Yajie
Lu, Sijie
PROCEEDINGS OF 2021 6TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING TECHNOLOGIES (ICMLT 2021), 2021, : 58 - 64
[25] Multi-model ensemble forecasting of rainfall over Indian monsoon region
Bhowmik, S. K. Roy
Durai, V. R.
ATMOSFERA, 2008, 21 (03): : 225 - 239
[26] Short-term Wind Power Forecasting Method in Extreme Weather Based on Stacking Multi-model Fusion
Zheng, Yingying
Li, Xin
Chen, Yanxu
Zhao, Yongning
Gaodianya Jishu/High Voltage Engineering, 2024, 50 (09): : 3871 - 3882
[27] Short-Term PV Output Prediction Method Based on Feature Analysis and Multi-model Fusion
Song, Yuansheng
Zhao, Teng
Niu, Ziru
Du, Jin
Jiang, Fanghui
Zhai, Fangyue
2022 3RD INFORMATION COMMUNICATION TECHNOLOGIES CONFERENCE (ICTC 2022), 2022, : 232 - 237
[28] Short-term Load Forecasting Based on Similar Day and Multi-model Fusion
Zhang D.
Sun K.
He J.
Dianwang Jishu/Power System Technology, 2023, 47 (05): : 1961 - 1969
[29] A SST based large multi-model ensemble forecasting system for Indian summer monsoon rainfall
Sahai, A. K.
Chattopadhyay, R.
Goswami, B. N.
GEOPHYSICAL RESEARCH LETTERS, 2008, 35 (19)
[30] Online Detection Method for Transformer Faults Based on Multi-model Fusion
Wang Y.
Yu J.
Peng P.
Xie J.
Yi J.
Tao Z.
Gaodianya Jishu/High Voltage Engineering, 2023, 49 (08): : 3415 - 3424

← 1 2 3 4 5 →