Exelon's Infrastructure and Safety Analytics team is helping develop analytic insights to support Distribution, Transmission, Operation optimizations to drive reliability, resiliency, cost benefits for grid investments and enhancing organization safety by moving from lagging to leading indicators. But developing insights is just the beginning. This session will focus on a T&S Advanced Analytics project, to showcase the importance of investment during project ideation on adoption strategy, creating actionable insights, empowering business/ engineers to lead and take active role in analytic projects, how to identify change management and external dependencies upfront as part of analytics prioritization.
Utilities have been heavily reliant on subject matter knowledge in the last century to drive PM program and schedule PM for a variety of assets. Our engineers are experts in the industry and have leveraged their and industry knowledge of asset measurements and inspection results to manage these programs, however, as human beings, we are limited in terms of considering a variety of factors and assessing the distribution of each factor. This is where data driven approaches shine and enables SMEs with checking million to billion combinations to come up with the best model to predict future. These models can then be used to supplement engineer knowledge, and support industry-wide acceptance of a systematic approach to transition to condition-based maintenance programs. Latest model was validated against business-as-usual to provide 85% accuracy using success criteria developed for this project. PECO team is quantifying and confirming the benefits of model output to extract technical and data science success, including that model can be used in the real world “what would be do differently”.
- Lessons learned on deploying data analytics platforms, managing a big data analytics platform (on-premise or cloud) with limited resources.
- Importance of strong data-driven culture, focus on cross-collaboration and supporting diverse roles to work together to identify, ideate and solve problems.
- Importance of analytics sponsorship at all levels of the company.
- Real-world analytic T&S analytic use case and how Exelon and PECO T&S and Analytics teams have developed a novel machine learning model to recommend preventative maintenance (PM) for transformers at the right time to replace time-based preventative maintenance.