Predictive risk analysis: Leveraging early fault detection to mitigate storm impacts and prevent wildfires
This roundtable discussion will explore cutting-edge advancements in technology and artificial intelligence (AI) that are revolutionizing the resilience and robustness of electrical grid infrastructure. Panelists will discuss how early fault detection systems and AI-driven predictive analytics can help identify real-time vulnerabilities to mitigate the impacts of storms on the grid and enable proactive maintenance to prevent electrically induced wildfires.
The conversation will explore AI's role in forecasting potential failures in grid infrastructure and identifying high-impact sectors in real-time, using dynamic weather data. Participants will also highlight how these technologies are transforming maintenance strategies from reactive to proactive, reducing downtime and enhancing grid reliability. Additionally, the discussion will address the regulatory changes needed to fast-track innovation, ensuring the grid can adapt to the growing demands of renewable energy integration and an expanding energy network.
This engaging session will provide attendees with insights into the future of grid management, demonstrating how technology and policy can collaborate to protect communities and power the energy transition.
Session sponsored by IND Technology