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Content provided by Mansi Shah, Joshua Marker, Mansi Shah, and Joshua Marker. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mansi Shah, Joshua Marker, Mansi Shah, and Joshua Marker or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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Harnessing Data for Clean Power: Tyler McCandless on AI in Renewables

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Manage episode 456473965 series 3594431
Content provided by Mansi Shah, Joshua Marker, Mansi Shah, and Joshua Marker. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mansi Shah, Joshua Marker, Mansi Shah, and Joshua Marker or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.


In this episode of The Climate Stack, we dive into the cutting-edge applications of machine learning in renewable energy with Tyler McCandless, Head of Data Sciences at Equilibrium Energy. Tyler shares how data science is driving innovation in the sector, from improving risk modeling and ROI forecasting to predicting failures and optimizing energy generation.

This episode offers a comprehensive look at how technology is enabling the clean energy transition.

About Our Guest

Tyler is an accomplished and forward-thinking data science leader renowned for spearheading strategic initiatives and delivering high-impact products at the convergence of weather, energy, and AI. Highly experienced at several companies in leading distributed cross-functional teams to conceptualize, develop, and deploy machine learning models, while balancing cost minimization with revenue maximization. Tyler is the Head of ML Sciences at Equilibrium Energy, a company focused on being energy innovators to combat climate change. Outside of work, Tyler balances a career in the sport of long distance running, having competed in four USA Olympic Marathon Trials. Learn more about Tyler on LinkedIn.

Your Hosts

Mansi Shah - Joshua Marker

ClimateStack

  continue reading

8 episodes

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iconShare
 
Manage episode 456473965 series 3594431
Content provided by Mansi Shah, Joshua Marker, Mansi Shah, and Joshua Marker. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mansi Shah, Joshua Marker, Mansi Shah, and Joshua Marker or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.


In this episode of The Climate Stack, we dive into the cutting-edge applications of machine learning in renewable energy with Tyler McCandless, Head of Data Sciences at Equilibrium Energy. Tyler shares how data science is driving innovation in the sector, from improving risk modeling and ROI forecasting to predicting failures and optimizing energy generation.

This episode offers a comprehensive look at how technology is enabling the clean energy transition.

About Our Guest

Tyler is an accomplished and forward-thinking data science leader renowned for spearheading strategic initiatives and delivering high-impact products at the convergence of weather, energy, and AI. Highly experienced at several companies in leading distributed cross-functional teams to conceptualize, develop, and deploy machine learning models, while balancing cost minimization with revenue maximization. Tyler is the Head of ML Sciences at Equilibrium Energy, a company focused on being energy innovators to combat climate change. Outside of work, Tyler balances a career in the sport of long distance running, having competed in four USA Olympic Marathon Trials. Learn more about Tyler on LinkedIn.

Your Hosts

Mansi Shah - Joshua Marker

ClimateStack

  continue reading

8 episodes

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