Santiago Rodriguez | Intro to functional data analysis | RStudio Meetup

Описание к видео Santiago Rodriguez | Intro to functional data analysis | RStudio Meetup

Energy Meetup - Intro to functional data analysis
Presented by Santiago Rodriguez

2:49 - Start of talk
12:15 - First Q&A point
23:23 - Second Q&A point
31:56 - Third Q&A point
40:44 - Final Q&A point

Abstract
The focus of this talk is to introduce functional data analysis (FDA) and to showcase some of its applications in the utility space. A primary source of data in a utility are meter reads. This data is periodic and appears discrete, but energy consumption is continuous, which makes meter reads a perfect use case to apply FDA. The talk will highlight two applications: load profiles and segmentation. The talk will be non-technical - no math or code - because the goal of the talk is to persuade you to investigate FDA on your own.

Speaker Bio
Santiago is a data scientist in the marketing department at Consumers Energy, a Michigan-based, public utility. He focuses on data engineering, data science, and MLOps. Santiago has about a decade of experience working in the analytics space across energy, aviation, automotive, and contact centers. He has a bachelor’s in finance from Florida State University and a master’s in statistics from Texas A&M.

Resources shared in the chat:
✨ FDA descriptive statistics blog post: https://lnkd.in/gZjauTdt
✨ Intro to FDA Blog Post: https://lnkd.in/gM5NCbHe
✨ Refund package is introduced in 'Introduction to Functional Data' by Kokoszka and Reimherr: https://lnkd.in/gd5Bt3tE
✨ Gaussian Process Regression Analysis for Functional Data by Shi & Choi: https://lnkd.in/gAig-AZa
✨ GAMs in R, free course - Noam Ross: https://lnkd.in/gput2QbK
✨ Jiguo Cao - Intro to FDA on YouTube: https://lnkd.in/ga4qfGDr
✨ Feedback: rstd.io/meetup-feedback
✨ Talk submission: https://lnkd.in/gJ7EUSCk
✨ If you'd like to find out about upcoming events you can also add this calendar: rstd.io/community-events

Packages shared in the chat:
✨ Task view https://lnkd.in/gBqtuV2b
✨ FDA: https://lnkd.in/ge85i6UE
✨ Refund package: https://lnkd.in/gXGcT79t
✨ FDA.USC: https://lnkd.in/ggHdUaEe

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