Smart Meters and Real-time Electricity Consumption Monitoring Algorithms to Reduce Electricity Theft in Developing Countries

Smart Meters and Real-time Electricity Consumption Monitoring Algorithms to Reduce Electricity Theft in Developing Countries

2019

Yanchen Ou (Computer Science) and Jiwoo Song (Chemistry, Mechanical Engineering) spent ten weeks building tools to assist in the analysis of smart meter data. Working with a large dataset of transformer and household data from the Kyrgyz Republic, the team built a data preprocessing pipeline and then used unsupervised machine-learning techniques to assess energy quality and construct typical user profiles.

 

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Faculty Lead: Robyn Meeks

Project Manager: Bernard Coles

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Mathematics

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Computer Science

hemistry, Mechanical Engineering