Development of an IoT System for the Generation of a Database of Residential Water End-Use Consumption Time Series

Abstract

Disaggregation techniques are useful to separate data aggregated into single end-use categories, and they are becoming of great interest in the water sector due to the technological innovation in metering systems that has made water consumption data available. However, in order to apply disaggregation methods, high-resolution data at the end-use level are needed. To face this problem, the paper presents an Internet of Things water end-use monitoring system that is able to read real-time end-use consumption in a residential apartment equipped as a pilot site. Moreover, the paper describes preliminary consideration of the dataset and the potentiality of end-use consumption measures to apply disaggregation techniques and profile users’ behaviors.