Podknife - Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300 by This Week in Machine Learning & Artificial Intelligence (AI) Podcast

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Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300

Podcast |: This Week in Machine Learning & Artificial Intelligence (AI) Podcast
Publisher |: Sam Charrington
Media Type |: audio
Podknife tags |: Data Science,; Interview,; Machine Learning,; Tech News,; Technology
Categories Via RSS |: Tech News,; Technology
Publication Date |: Sep 18, 2019
Episode Duration |: 00:30:06

Today we're joined by Kalai Ramea, Data Scientist at PARC, a Xerox Company. In this episode we discuss her journey buying a hydrogen car and the subsequent journey and paper that followed assessing fueling stations. In her next paper, Kalai looked at fuel consumption at hydrogen stations and used temporal clustering to identify signatures of usage over time. As the number of fueling stations is planned to increase dramatically in the future, building reliability on their performance is crucial.

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