Using AI to Predict & Protect: Grid-wide Storm Resilience episode artwork

EPISODE · Nov 18, 2024 · 29 MIN

Using AI to Predict & Protect: Grid-wide Storm Resilience

from Energy Central · host The EC Network

In this episode, Rob Brook, Senior Vice President and Managing Director – Americas at Neara, joins the Power Perspectives Podcast to discuss a pressing challenge for the energy sector: the growing impact of severe weather on energy infrastructure. As storms increase in frequency and intensity, Rob shares how utilities must enhance their resilience strategies and what Neara is doing to harness the power of AI and simulation to help utilities predict, prepare for, and respond to these extreme weather events. Listen in as Rob discusses: - How AI-driven simulations model the impacts of severe weather on utility networks - The types of data required to build accurate simulations and how utilities manage data quality - Insights from Neara’s collaboration with CenterPoint Energy, focusing on storm preparation post-Hurricane Beryl - Applications of AI in utility operations beyond storm resilience, including asset management and grid modernization - Overcoming regulatory and cost challenges to implement cutting-edge technology For any utility stakeholders aiming to make our grid more resilient, this episode is for you. Join host Jason Price and producer Matt Chester as they explore the future of storm preparedness and grid resilience with Rob Brook. Key Links Energy Central Post with Full Episode Transcript: https://energycentral.com/o/energy-central/power-perspectives%E2%84%A2-podcast-using-ai-predict-protect-grid-wide-storm-resilience Rob Neara's Energy Central profile: https://energycentral.com/member/profile/robert-brook Ask a Question to Our Future Guests: Do you have a burning question for the utility executives and energy industry thought leaders that we feature each week on Power Perspectives? Leave us a message here for your chance to be featured in an upcoming episode: www.speakpipe.com/EnergyCentralPodcast

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