IoT-Based Electronic System for Real-Time Monitoring and AI-Driven Analysis of Residential Water Consumption
The results of this study demonstrate that the combination of IoT sensors with LSTM Autoencoder analysis of water consumption allows for the monitoring of water consumption patterns and early detection of anomalies, thus providing a means to achieve a reduction in average monthly household water consumption from approximately 21 m3 to 18 m3.