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

Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300
Category: Technology
Duration: 00:30:04
Publish Date: 2019-09-17 21:04:53
Description:

Today we are joined by Kalai Ramea, Data Scientist at PARC, a Xerox Company. With a background in transportation, energy efficiency, art, and machine learning, Kalai has been fortunate enough to follow her passions through her work. In this episode we discuss:

  • Her environmentally efficient pursuit that lead to the purchase of a hydrogen car, and the subsequent journey and paper that followed assessing fueling stations 
  • Kalai’s next paper, looking at fuel consumption at hydrogen stations using temporal clustering to identify signatures of usage over time, grouping the stations into categories 
  • With the construction of fueling stations is planned to increase dramatically in the next 5 years, building reliability on their performance is crucial
  • A sneak peek into how Kalai incorporates her love of art into her work!

Check out the show notes, and the refresh, at twimlai.com! 
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