We’re excited to announce that Michael Berger, Head of Research & Development at Conserve It, was recently featured on the ASHRAE Journal Podcast. In this episode, Michael joins ASHRAE Journal Managing Editor Kelly Barraza to discuss the evolving role of Machine Learning (ML) in HVAC applications—a defining technology that’s just beginning to make its mark in the world of building controls.
As Michael highlights, while ML is still in its early stages of adoption within the HVAC industry, its potential for optimizing HVAC operations to drive energy efficiency is immense. The conversation explores how ML algorithms can revolutionize real-time control, predictive maintenance, and advanced chiller plant optimization, ultimately leading to significant energy savings and operational improvements.
Michael draws on his extensive experience in the fields of energy efficiency, data science, and HVAC&R optimization to offer deep insights into the transformative impact of ML. With over 12 years of experience, Michael’s work at Conserve It is pioneering the application of machine learning to the built environment—delivering innovative solutions that not only enhance performance but also reduce energy consumption.
Interested in how ML can drive the future of building automation? Tune in to this podcast to learn more about how machine learning is shaping the future of HVAC operations. Don’t miss this valuable discussion!
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