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.
The post Energy Market Machine Learning with Minh Dang and Corey Noone appeared first on Software Engineering Daily.
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