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Episode 362: Forecasting Demand for a Peak Day with Tom Quinn and Greg Merkel

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Content provided by Pipeliners Podcast and Russel Treat. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pipeliners Podcast and Russel Treat 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://ro.player.fm/legal.

In this episode of the Pipeliners Podcast, Tom Quinn and Greg Merkel from Marquette Energy Analytics return to discuss the importance of peak demand forecasting for natural gas utilities, especially in preparation for extreme weather events.

The episode explores how accurate demand modeling helps ensure utilities can maintain reliable service on peak days, delving into methods of historical data analysis, customer behavior modeling, and regulatory considerations. The conversation also highlights the balance between mathematical precision and the need to communicate complex data clearly to regulatory bodies and stakeholders.

Visit PipelinePodcastNetwork.com for a full episode transcript, as well as detailed show notes with relevant links and insider term definitions.

  continue reading

363 episoade

Artwork
iconDistribuie
 
Manage episode 449725911 series 1877610
Content provided by Pipeliners Podcast and Russel Treat. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pipeliners Podcast and Russel Treat 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://ro.player.fm/legal.

In this episode of the Pipeliners Podcast, Tom Quinn and Greg Merkel from Marquette Energy Analytics return to discuss the importance of peak demand forecasting for natural gas utilities, especially in preparation for extreme weather events.

The episode explores how accurate demand modeling helps ensure utilities can maintain reliable service on peak days, delving into methods of historical data analysis, customer behavior modeling, and regulatory considerations. The conversation also highlights the balance between mathematical precision and the need to communicate complex data clearly to regulatory bodies and stakeholders.

Visit PipelinePodcastNetwork.com for a full episode transcript, as well as detailed show notes with relevant links and insider term definitions.

  continue reading

363 episoade

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