Daily Rainfall Forecasting Using Meteorology Data with Long Short-Term Memory (LSTM) Network

• Main Authors: Soo See, Chai, Goh, Kok Luong
• Format: Article
• Language: English
• Published: 2022
• Subjects: GE Environmental Sciences; QA75 Electronic computers. Computer science
• Online Access: http://ir.unimas.my/id/eprint/37913/1/Daily%20Rainfall%20Forecasting%20Using%20Meteorology.pdf; http://ir.unimas.my/id/eprint/37913/
• Institution: Universiti Malaysia Sarawak

Rainfall is a natural climatic phenomenon and prediction of its value is crucial for weather forecasting. For time series data forecasting, the Long Short-Term Memory (LSTM) network is shown to be superior as compared to other machine learning algorithms. Therefore, in this research work, a LSTM net...