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

episode

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

Related

recent transcribed audio

The Songs of John Farnham: A Living Legend | Tony Cochrane (23.09.26) 7 min · 23 Sep 2026 · Whateley

Las 10 de Erazno, el Chokolatazo, Parodias, 1h 29m · 23 Sep 2026 · Erazno y La Chokolata El Podcast

Steve Hilton & Spencer Pratt: Fixing California, Cheaper Gas, Ballot Fraud & CA Republicans 55 min · 23 Sep 2026 · All-In with Chamath, Jason, Sacks & Friedberg

Optics of Alastair Clarkson's brunt sacking | The Eminently Sensible Phil Davis (23.09.26) 1 min · 23 Sep 2026 · Whateley

The Eminently Sensible Phil Davis | Whateley (23.09.26) 13 min · 23 Sep 2026 · Whateley

The impact of Zak Butters' homecoming | The Eminently Sensible Phil Davis (23.09.26) 1 min · 23 Sep 2026 · Whateley

Report any issue

Source

Recorded18 Sep 2019

Publisherfeeds.megaphone.fm ↗

Handlerec:12496238

Show notes

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.

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Sign in