P34.001 Transmission Asset Management Analytics: Principles and Practices

Large Language Model Benchmarking aims to develop and implement an automated series of tests to gauge the effectiveness of various available large language models’ knowledge abilities by benchmarking their performance against sets of curated technical questions and answers prepared by EPRI and utility domain experts. Questions addressing various power delivery topics involving calculations, multiple-choice selections, and interpretation of imagery may be included.

Asset Management Guide aims to enhance and update a comprehensive reference explaining asset management principles and the specific issues associated with implementing asset and risk management in transmission utilities. Utilities can use the guide to help structure or enhance their asset management programs.

Asset Management Maturity Assessment White Paper. Based on the Asset Management Guide, EPRI has developed a methodology to assess the maturity of a transmission utility’s current asset management program implementation. This task intends to develop a white paper that outlines the assessment objectives, attributes assessed, and the overall assessment process, and provide anonymized example results of assessment and gap analysis and recommendations on how to bridge them.

Scouting of emerging technologies for further investigation and possible asset management application demonstrations. Emerging techniques in the field of natural language processing, large language models, image analysis and artificial intelligence for asset management may be pursued. Planned 2026 tasks are:

• Guide discussions with members to assess what problems and data could benefit from the use of emerging analytical techniques
• Conduct literature review and background research to understand select techniques with the emphasis on how emerging analytical techniques can allow utilities to extract insights for transmission asset management

AI-Enabled Asset Health and Asset Management Systems Interest Group: A forum for exchanging information, experiences, and lessons learned; identifying knowledge gaps, needed capabilities, and research topics; and exploring new AI-enabled tools and methodologies for enhancing asset health indices, analytics, and overall asset management. AI topics covered may include predictive maintenance systems, anomaly detection, health monitoring, image analysis, large language models, and optimization algorithms.

Asset Management and Applied Analytics Workshops: EPRI plans to conduct an in-person workshop to facilitate information exchange and promote industrywide collaboration and discussion on important concepts and techniques for asset management.

• Discuss current and emerging industry issues where analytics can help
• Utility presentations sharing ongoing (or planned) efforts
• Increase awareness and facilitate adoption of ongoing EPRI research
• Exchange ideas and network with peers
• Possible workshop topics may include:
  • Introduction to asset management
  • Overview of core asset management techniques, such as basic probability and statistics or survival analysis
  • Emerging analytical techniques, such as artificial intelligence
  • Asset management program governance