Identifying Water Consumption Patterns in Education Buildings Before, During and After COVID-19 Lockdown Periods

被引:3
作者
Zecchini, Marco [1 ]
Griesi, Alessandra Anna [1 ]
Chatzigiannakis, Ioannis [1 ]
Amaxilatis, Dimitrios [2 ]
Akrivopoulos, Orestis [2 ]
机构
[1] Sapienza Univ Rome, Rome, Italy
[2] Spark Works Ltd, Galway, Ireland
来源
2021 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP 2021) | 2021年
基金
欧盟地平线“2020”;
关键词
Smart Water Grid; Smart Water Meters; IoT; COVID-19; Usage analysis; Usage Profiling; IOT;
D O I
10.1109/SMARTCOMP52413.2021.00069
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Adopting modern emerging technologies of smart metering based on IoT that extend existing water distribution systems is of paramount importance for improving the operational efficiency of the water supply system in the cities and rural communities. Real-world data collected by smart water meters allows the analysis of consumption of water. In this work, data collected over a period of 28 months is analyzed on weekly, daily and hourly basis to identify usage patterns in relation to the restrictions imposed by the local authorities as a response to the COVID-19 emergency taking place during 2020 and 2021. The evaluation of water consumption before, during and after the lockdown periods highlights the impact of human actions. A novel data-driven method is presented to profile buildings that can help identify similarities and highlight differences across water usage patterns.
引用
收藏
页码:335 / 340
页数:6
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