[Kevin Praet (Adm)]

Hello Data Science Community Members,

I hope everyone had a nice weekend! This is just a final reminder to join us tomorrow, Tuesday October 20th at 1:00 PM CT, for our October Data Science Meeting on “A Python Experiment: Identification of High Voltage Transmission Line Asset Renewal Initiatives Using Structure-Based Information.” I’ve provided the Microsoft Teams link below and on our calendar placeholder. If you have any questions prior to our meeting, or if you do not have a placeholder on your calendar, please reach out and let me know.

Thanks and I look forward to connecting!

________________________________________________________________________________

Join Microsoft Teams Meeting

+1 920-393-6243   United States, Green Bay (Toll)

Conference ID: 385 188 372#

Local numbers | Reset PIN | Learn more about Teams | Meeting options

________________________________________________________________________________

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 10-13-2020 08:51
From: Kevin Praet
Subject: Upcoming October 20th Data Science Meeting

Hello Data Science Community Members,

I hope all is well! This is just a quick reminder to join us next week, Tuesday, October 20th at 1:00 PM CT, for an exciting discussion around “A Python Experiment: Identification of High Voltage Transmission Line Asset Renewal Initiatives Using Structure-Based Information.” Mike White, Local Relations Consultant at American Transmission Company (ATC), will be leading the discussion and taking questions throughout.

Learn more about Mike and our session below!

Session Description:

Analysts review several factors when determining if line maintenance or rebuilds are required. Many of these factors examine the status of a particular line as a whole, rather than based on variables specific to individual transmission structures (poles).

Based on more robust data collection and powerful new modeling tools, this project attempted to use machine learning and deep learning methods to automate the process of predicting the need for a transmission line rebuild based largely on information at the structure level.

The session will include information on how Mike used information at the structure and line level to train models based on a binary classification problem of determining necessity for a t-line rebuild. The presentation will describe the problem, methods used, results and conclusions, as well as next steps. All analysis was performed using python, so Mike will provide a high-level overview of the methods and techniques used. Please bring your questions, as this session will include Q&A and open discussion.

Mike White (Local Relations Consultant at American Transmission Company (ATC)

Mike joined ATC full time in 2017 where he serves a variety of communication and public relations roles, including as a local relations representative working directly with elected officials and government staff as well as coordinating public outreach efforts to impacted stakeholders. In addition, Mike serves as a core team member of ATC’s data analytics, AI & machine learning initiative. He is also an advisor on the development of company-wide business applications.

In 2002 Mike co-founded The Shop Consulting and served as President of one of Wisconsin’s premier public affairs and strategic communication firms. Mike’s diverse background has included serving as a key strategist and solutions developer for multiple state and nationwide organizations, utilities and businesses.

Prior to forming The Shop he graduated from the University of Wisconsin-Madison and worked in both policy and technology positions for the Wisconsin Legislature. He recently earned a master’s degree in Data Science from the University of Wisconsin Data Science Program.

___________________________________________________________________________________________________________________________________

I’ll be providing our Microsoft Teams link one day prior to the meeting. If you have any questions in the meantime please reach out and let us know.

Thanks!

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