IEEE PI2 Austin, June 2024 Tech Meeting: Applications of Specialized Databases in Electric Power Systems
IEEE PI2 Austin, June 25, 2024, Tech Meeting In-Person 6 PM Central / 7 PM Eastern at Balcones Country Club
Balcones Country Club: 8600 Balcones Dr. Austin, TX 78750 **NEW LOCATION**
Dinner and soft beverages will be provided for those with reservations. If you do not have a reservation you will not be able to eat.
Cost, to defray the room, dinner and refreshments cost: Thank you in advance:
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All registrants After June 18, 2024: Pay $30.00 at the the meeting in cash
Attendees must be registered before the event for food accommodations. Unfortunately we are charged more for the meals after the advance registration date
For PDH hours, please email the PI2 Secretary, Haley Hirschfield at HaleyHirschfeld.org or pi2-secretary@ieee.org.
Abstract: This talk will focus on different databases used for modern Artificial Intelligence solutions in Electric Power Systems. We will investigate various database structures, some being derivatives of the relational (SQL) database, and some examples of noSQL databases for processing of very large datasets. We will discuss the reasons for a variety of database designs and strategies used to improve querying performance. Every database example will be paired with an example of a real-life application of machine learning to an electric power system problem.
Date and Time
Location
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Registration
- Date: 25 Jun 2024
- Time: 06:00 PM to 09:00 PM
- All times are (UTC-05:00) Central Time (US & Canada)
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- 8600 Balcones Club Dr.
- Austin, Texas
- United States 78750
- Building: Balcones Country Club
- Click here for Map
- Starts 11 May 2024 12:00 AM
- Ends 25 June 2024 12:00 AM
- All times are (UTC-05:00) Central Time (US & Canada)
- Admission fee ?
Speakers
Tanya Dokic
Applications of Specialized Databases in Electric Power Systems
This talk will focus on different databases used for modern Artificial Intelligence solutions in Electric Power Systems. We will investigate various database structures, some being derivatives of the relational (SQL) database, and some examples of noSQL databases for processing of very large datasets. We will discuss the reasons for a variety of database designs and strategies used to improve querying performance. Every database example will be paired with an example of a real-life application of machine learning to an electric power system problem.
Biography:
Tatjana (Tanya) Dokic graduated from Texas A&M University with Ph.D in Electrical Power Systems, and has a B.Sc and M.Sc from University of Novi Sad in Electrical and Computer Engineering. Currently, as a Senior Data Scientist – GIS Specialist, she is helping Exelon Corporation develop cutting edge applications that use Artificial Intelligence to improve Reliability and Asset Management of Electric Transmission and Distribution. She has over 10 years of experience in Advanced Data Analytics for Electrical Power Systems with primary focus on Big Data and Machine Learning. She is an author of 1 patent, 3 book chapters, 6 journal papers, and over 20 conference papers.