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

EPISODE · Sep 18, 2019 · 30 MIN

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

from The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) · host Sam Charrington

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.

Episode metadata supplied by the publisher feed · Published Sep 18, 2019

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

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This episode was published on September 18, 2019.

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