A Non-Intrusive Water Consumption Monitoring System

• Main Authors: Somontina, James Adrian, Macabebe, Erees Queen B
• Format: text
• Published: Archīum Ateneo 2021
• Subjects: fixtures; buildings; machine learning; research and development; water consumption; water monitoring; Random Forest; Internet-of-Things; fixture recognition; single- point sensing; Electrical and Computer Engineering; Water Resource Management
• Online Access: https://archium.ateneo.edu/ecce-faculty-pubs/93; https://ieeexplore.ieee.org/document/9342898
• Institution: Ateneo De Manila University

Water is an essential resource for humans as it is used in many activities for both leisure and hygiene. However; the technology available in monitoring water consumption is limited to the traditional flowmeter. Households and small buildings rely only on the end-of-month billing by the water distri...