Date post: | 17-Aug-2015 |
Category: |
Data & Analytics |
Upload: | sohaibalam |
View: | 24 times |
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Problem Statement
● Processes and data problems within water utilities lead to water meters not charged the full amount of water delivered
Problem Statement
● Processes and data problems within water utilities lead to water meters not charged the full amount of water delivered
● Faulty water meters sum to revenue loss of ~$8.7 billion in the US
Problem Statement
● Given monthly billing data (~1GB) from a North Carolina facility (2009-2014), identify anomalous meters
Four different types of anomalies.Unlabelled data.Search for indicators.
Label “obviously” anomalous meters meeting strict indicator criteria.
Identify more meters using Gaussian anomaly detection.Calculate associated revenue loss.