USEA's Power Sector Podcast

In today’s USEA Power Sector Podcast, Autumn Proudlove, Associate Director for Policy and Markets with the North Carolina Clean Energy Technology Center at North Carolina State University kicked off a new USEA series on performance-based regulation, or PBR, by answering questions from journalist Herman K. Trabish about the emerging national momentum toward PBR, which can change the fundamental business model of investor-owned utilities by moving their rewards for capital investments to rewards for their performance on achieving  goals set by policymakers. 

In today’s final episode of the USEA Power Sector Podcast series on data, Amperon CEO and Co-founder Sean Kelly answered questions by journalist Herman K. Trabish about the uses of machine learning and accelerated computing-based algorithms to design, operate and optimize data to improve the economics of clean energy for power providers and their customers.

Dr. Gary Dorris, founder and CEO of Ascend Analytics, discusses the vital role of data-driven modeling in the energy sector. He highlights how accelerated computing aids in risk management and long-term resource planning. The conversation dives into the complexities of energy pricing influenced by renewable resources and the importance of weather data for optimizing wind and solar power. Dorris also critiques traditional fossil fuel pricing models, advocating for advanced analytics to adapt to modern energy market dynamics.

In today’s USEA Power Sector Podcast, Michael Murray, President of the Mission:data Coalition, answered questions by journalist Herman K. Trabish about the new accelerated computing capabilities that will allow consumers and third parties access to historical and real time smart meter and utility-archived consumption and pricing data to guide their ability to manage their energy use.

In today’s USEA Power Sector Podcast, National Renewable Energy Laboratory Strategic Energy Analysis Center Market and Policy Group Manager Jeff Cook answered questions by journalist Herman K. Trabish about how massively accelerated computing capabilities to assimilate data are emerging alongside a new complexity on the distribution system to optimize new clean energy resources and technologies and drive decarbonization

In today’s USEA Power Sector Podcast, Neara Senior Vice President and Managing Director of the Americas Robert Brook answered questions by journalist Herman K. Trabish about how utility data can be incorporated by digital network models and digital twining capabilities to improve reliability and reduce customer costs.

In today’s USEA Power Sector Podcast, AES Corporation Sr Director of Data Science and Analytics, Global, and Innovative Data Leader Sean Otto answered questions by journalist Herman K. Trabish about how investor-owned power provider and electric utility giant AES is working toward the use of data science and analytics along with today’s accelerated computing capabilities to improve reliability and lower customer costs.

In today’s USEA Power Sector Podcast, Tom Mapes, Founder and President of the Digital Energy Council, answered questions by journalist Herman K. Trabish about the growing importance of digital technologies and data analytics in today’s power sector.

In today’s USEA Power Sector Podcast, Jess Melanson, President and Chief Operating Officer of Utilidata, answered questions by journalist Herman K. Trabish about how accelerated computing and new access to data through Utilidata’s NVIDIA-based Karman module can lead to the optimized use of distributed energy resources at the distribution system level to make the delivery of electricity more reliable and affordable.

In today’s USEA Power Sector Podcast, Scott Harden, Global Chief Technology Officer for multinational digital automation and energy management provider Schneider Electric answered questions by journalist Herman K. Trabish about how accelerated computing and automation are making the management of data central to optimizing power sector decarbonization and reliability and reducing customer costs.