AI Revolutionizes Utility Planning Amid Rising Natural Disaster Risks

In a recent government meeting, discussions centered on the integration of artificial intelligence (AI) in managing public utilities and addressing natural disaster risks, particularly in relation to wildfire prevention and earthquake prediction.

Senator D'Agostino highlighted the ongoing efforts by Pacific Gas and Electric (PG&E) and San Diego Gas & Electric (SDG&E) to underground power lines as a strategy to mitigate the impact of Public Safety Power Shutoffs (PSPS), especially during extreme weather conditions. He inquired about the role of AI in identifying areas where undergrounding is feasible. The response confirmed that AI is indeed being utilized in risk modeling to pinpoint high-risk locations for potential undergrounding, taking into account factors such as extreme winds and the likelihood of ignition.

The conversation then shifted to the potential application of AI in predicting seismic activity. A participant, identified as an earthquake engineer, expressed skepticism about the feasibility of using AI for earthquake prediction due to the limitations of current data collection methods. The engineer explained that seismic activity occurs at depths beyond the reach of existing sensors, making it challenging to gather sufficient data for accurate predictions. While acknowledging the existence of indirect methods for monitoring seismic events, the engineer emphasized the need for more comprehensive data to enhance predictive capabilities.

The meeting concluded with a positive note on the advancements in AI technology and its promising future applications in public safety and disaster management. Participants expressed appreciation for the innovative work being done, particularly at PG&E's weather station in San Diego, which has been recognized for its effective weather prediction capabilities. The session wrapped up without public comments, marking the end of a productive hearing focused on leveraging technology for improved safety measures.