Leveraging AI and ML Tools in the Utility Industry for Disruption Avoidance and Disaster Recovery

Abstract

The utility industry is facing increasing disruptions due to climate change, aging infrastructure, and cyber threats. To enhance operational resilience and disaster recovery, utilities leverage Artificial Intelligence (AI) and Machine Learning (ML) technologies. These tools enable predictive maintenance, anomaly detection, and real-time decision-making, allowing for the anticipation of failures and a faster crisis response. Case studies from companies such as Avangrid and PRASA highlight the practical benefits of AI and ML in reducing outages, optimizing resource allocation, and minimizing recovery time. As the utility sector continues to adopt these advanced technologies, the potential for cost savings, improved customer satisfaction, and enhanced service reliability has become more apparent. AI and ML are key to ensuring a more resilient and efficient future for utilities, particularly in the face of increasing environmental and cyber threats.