상세정보
학술대회
A Study on Rainfall Prediction based on Meteorological Time Series
- 발행일
- 202108
- 출처
- International Conference on Ubiquitous and Future Networks (ICUFN) 2021, pp.1-3
- 협약과제
- 20VR1800, AI기술을 활용한 공공데이터 기반 지역현안 솔루션 개발 및 실용화 - 세부4 ETRI 인공지능 신산업 거점육성 테스트베드 구축, 강태규
- 초록
- This study aims to present the results of the research and development project on the urban inundation prediction technology during the heavy rain period. In this study, the results of rainfall prediction using heterogeneous weather data and machine learning are presented. In the predictive analysis of univariate time series data, it was confirmed that the CNN-LSTM model showed the best performance among several deep neural network models. In the predictive analysis of multivariate time series data, it was confirmed that the ConvLSTM model showed the best performance among several deep neural network models.