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

· 30 Minutes

PodcastThe TWIML AI Podcast

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

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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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This story was published by The TWIML AI Podcast and written by Sam Charrington. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on twimlai.com

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