QuickTalk: Power in Numbers: Enhancing Operations & Maintenance with AI

Learning Objectives:

• Understand the challenges faced by asset owners and operations and maintenance (O&M) providers in managing distributed generation assets. Explore the unique characteristics of these assets, such as their geographically dispersed locations and relatively small generation capacity, that require innovative solutions for effective monitoring and problem resolution.
• Explore the potential of artificial intelligence (AI) and smart computing in revolutionizing O&M practices for distributed generation assets. Learn about the opportunities presented by AI-based asset monitoring, including its ability to improve problem identification, field service dispatch, and overall operational efficiency. Gain insights into the specific capabilities offered by AI, such as cluster and peer modeling, site prioritization, and analysis and response.
• Gain practical knowledge and insights from a case study showcasing the successful implementation of AI-based asset monitoring in the context of distributed generation assets. Understand the real-world benefits and outcomes achieved through the utilization of AI technologies in O&M, including improved problem resolution, enhanced field service operations, and increased overall asset performance. Learn from the experiences and best practices shared in the case study to inform and guide your own approach to AI-based asset monitoring and O&M optimization.