IoT Based Real-time Monitoring System of Rainfall and Water Level for Flood Prediction Using LSTM Network
Date
2023
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Publisher
IOP Publishing
Abstract
This proposal outlines the design of a monitoring system to obtain real-time data on rain gauge and water level. The monitoring system is based on IoT via a GSM network to provide real-time data cloud and dashboard display on Grafana platform. The rainfall forecasting model used Long Short-Term Memory (LSTM) networks to predict future rainfall and water level values which could cause floods.
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Citation
Faudzi, A. A. M., Raslan, M. M., & Alias, N. E. (2023). IoT based real-time monitoring system of rainfall and water level for flood prediction using LSTM Network. In IOP Conference Series: Earth and Environmental Science (Vol. 1143, No. 1, p. 012015). IOP Publishing.