Energy Market Machine Learning with Minh Dang and Corey Noone

The demand for electricity is based on the consumption of the electrical grid at a given time. The supply of electricity is based on how much energy is being produced or stored on the grid at a given time. Because these sources of supply and demand fluctuate rapidly but predictably, energy markets present profit opportunities for traders.

Minh Dang and Corey Noone are engineers with Advanced Microgrid Solutions, a company that builds software to help traders capture better opportunities in the energy markets. Minh and Corey join the show to talk about how their company builds and deploys machine learning models for market prediction.

We discussed data infrastructure, machine learning model deployments, and the dynamics of the energy markets.

Transcript

Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.