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Grid Resiliency Optimization: Unifying Disparate Data, Spatial Intelligence, and AI, a Case Study
This session explores the integration of Disparate Data, Spatial Intelligence, and Artificial Intelligence to prioritize cost-effective solutions for improving grid reliability. Through a case study of Georgia Power, we demonstrate how the convergence of these technologies enhances the prioritization of asset improvements, equipment modernization, and network optimization. This method empowers utilities to navigate the complexities of grid enhancement with informed decision-making, ultimately benefiting both the utility and its consumers.
Session sponsored by Southwire
Speakers
