[Kevin Praet (Adm)]

Hello Grid Analytics Community Members,

I hope all is well! We are just under one week away from our October (2023) Grid Analytics Community Conversation (taking place in-person at UA Week) and want to get you excited about the session taking place. 

*Please see below for important information on this session including topics being discussed, speaker/facilitator info, and where will be meeting on site. This Community Conversation will only be available in-person (no virtual option will be offered) and encourage those who have not yet registered for UA Week to do so HERE. If you have any questions regarding this Community Conversation please reach out to me at kpraet@utilityanalytics.com.

Session Description:

Join us for an engaging session featuring small group breakout discussions and a collective sharing of insights, as we explore two pivotal topics shaping the future of grid analytics. In the first topic, “EVs and Grid Analytics: Driving the Future Together,” participants will delve into the synergistic relationship between electric vehicles and grid analytics, discussing strategies to optimize charging infrastructure, manage load variability, and unlock the full potential of electric mobility within the energy ecosystem. The second topic, “FERC 2222: Revolutionizing Grid Analytics for Energy Resilience,” will focus on the transformative impact of FERC Order 2222, empowering participants to explore how this regulatory milestone is reshaping grid analytics, facilitating the integration of distributed energy resources, and paving the way for enhanced energy resilience. Engage in thought-provoking discussions and collectively discover innovative approaches to drive a sustainable and resilient energy future.

Topic 1: EVs and Grid Analytics: Driving the Future Together

Topic 2: FERC 2222: Revolutionizing Grid Analytics for Energy Resilience

Meeting Room: Tuscan II

Meeting Date/Time: Tuesday, October 31 at 9:30 ET

Speakers/Facilitators:

Junhui Zhao, Manager of Data Science (Eversource)

Junhui Zhao is the Manager of Advanced Engineering Analytics with Eversource Energy, Berlin, CT, USA, where he leads efforts to explore and demonstrate the applications of big data and AI technologies in power systems. Before joining Eversource, he was a Principal Quantitative Engineer at ComEd in 2022 and was an Associate Professor with tenure at the University of New Haven, CT, 2014-2021. He received a Ph.D. degree in electrical engineering from Wayne State University, Detroit, USA, in 2014. 

Po-Chen Chen, Data Science Manager (Exelon)

Po-Chen Chen is currently the Manager of Data Science in the Infrastructure and Safety Analytics team in Exelon Corporation. Po-Chen has background in data science, power system engineering, and IT. In his most recent role at Sentient Energy, he focused on agile product development to develop predictive analytics using waveform classification for outage detection.

Ken McCabe, Sr. Data Scientist (Pepco Holdings)

Ken McCabe is a Sr. Data Scientist at Pepco Holdings – An Exelon Company. In addition to this role, he also serves as Community Engagement Chair for the Washington D.C. chapter of Developing Young Professionals (DYP), an Exelon Employee Resource Group. He holds a B.A. and MBA specializing in Data Analytics & Digital Technologies from Loyola University Maryland.  

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A calendar placeholder with more information on this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Tuesday, October 31 at 9:30 AM ET, or are having trouble downloading the placeholder from this message, please reach back out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and we look forward to connecting in-person next week!

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Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
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