Development of a Water Quality Event Detection and Diagnosis Framework in Drinking Water Distribution Systems with Structured and Unstructured Data Integration

Development of a Water Quality Event Detection and Diagnosis Framework in Drinking Water Distribution Systems with Structured and Unstructured Data Integration

Recently, various detection approaches that identify anomalous events (e.g., discoloration, contamination) by analyzing data collected from smart meters (so-called structured data) have been developed for many water distribution systems (WDSs). However, although some of them have showed promising re...

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Bibliographic Details
Main Authors: Taewook Kim, Donghwi Jung, Do Guen Yoo, Seunghyeok Hong, Sanghoon Jun, Joong Hoon Kim
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Energies
Subjects:
anomaly detection
water quality event
framework
structured and unstructured data integration
water distribution system
water quality
Online Access:https://www.mdpi.com/1996-1073/15/24/9300

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