Utility Analytics and Azure Data Solutions: Data Science After Dark Feb 2020

This month we have two out-of-town guest presenters from The Energy Authority (TEA). TEA provides public power utilities with access to advanced resources and technology systems so they can respond competitively in the changing energy markets.

http://www3.teainc.org/about-tea/

Details:
We’ll be meeting at The eFactory (405 N. Jefferson Ave.) on Tuesday February 18th from 5:30p to 7:00p. We'll be in the BKD room (Enter front doors, first room on left.) Food and drink will be provided while everyone settles in.

Please RSVP on meetup.com now so we can plan enough food and drinks.

Agenda:
5:30-6:00 – Arrival, Food, Drinks, Networking
6:00-7:00 – Speaker Presentations

Topic 1: Introduction to Quirkiness of Utility Analytics

A few fun facts: (1) Wholesale energy price can spike up from median price of $30/MWh to $1000/MWh in a couple of hours or drop down to negative prices. (2) Market design can change behavior of market participants and thus the market itself. (3) “Data scientists” in utilities often do everything from data mining, model prototyping to production model engineering and support.

There is so much analytics to be done with utility data. I’ll share a map of utility analytics and a few use cases.

Presenter: Eina Ooka

Eina Ooka is a senior quantitative analyst at the Energy Authority. She develops multivariate stochastic forecasting models for electric power markets and utility portfolios, utilizing both statistical and data science methods. She develops production-level models in R, all the way from R&D to the shiny app deployment that can be utilized throughout the company for portfolio management.

Topic 2: Azure Cloud Architecture for Data Workloads

Cloud solutions from AWS and Azure offer the ability to quickly standup environments that scale as you grow your solution. In this presentation, we'll provide an overview of the Microsoft Azure architecture we are using at The Energy Authority to process Smart Meter data and apply Data Science services across large datasets. We'll provide some lessons learned from real world development using Azure Data Lake, Azure Data Factory, Azure SQL, and Azure Data Bricks.

Presenter: Brad Gall

Brad Gall is a Cloud Data Architect with over 20 years' experience in Information Technology and Data Analytics. Working primarily with Microsoft data platforms, Brad has successfully delivered data driven projects across multiple industries in both corporate and consulting roles. In his current role as Senior Data Analyst with The Energy Authority, Brad works on the Connected Analytics team to help utilities leverage value from the increasing amount of data pouring in from big data programs such as Smart Meters.

Resources:
eFactory Parking: https://efactory.missouristate.edu/wp-content/uploads/2018/10/efactory_Event-Parking.pdf
Meetup page: https://www.meetup.com/Data-Science-After-Dark/
Facebook: https://www.facebook.com/groups/475003726608912/
Slack: https://join.slack.com/t/datascienceafterdark/shared_invite/enQtNjg1NzkyNjQ4NDM5LTg4NjVmMGU3NzNjZDQzODc1YTYzMGQ0NGI2MzkyOGIxMjBkNzIyMjU5OWRjMTUxNzRmNDJlZDNkNzQzOGYwNmI