Speakers

Vladyslav (Vlad) Anderson is currently a principal quantitative engineer at Exelon's Infrastructure and Safety Analytics team, bringing over ten years of experience in the utility space. His expertise includes capacity planning, load forecasting, distributed energy resource analysis, AI and big data applications for utilities, distribution automation, and operational utility technologies. In his current role, he leads and supports the development of AI and data-driven solutions for Exelon's electric grid, focusing on asset failure prediction, enhancing storm readiness, asset defect detection, and failure analytics. Previously, in capacity planning, he led the development and deployment of a time-series load forecasting tool, supported planning data model through integration of various utility datasets and source systems such as GIS, AMI, SCADA, solar generation, and billing, among others. He also provided support for distributed energy resource integration and non-wire alternatives evaluation. Prior to that, he lead the deployment of distribution automation technologies across the PHI footprint and their integration into SCADA and OT/IT systems, while also developing and supporting system health analytics. Vlad holds an M.S. and B.S. in Electrical and Computer Engineering from the University of Delaware and has a PE in Power Systems. Vlad is passionate about analytics and AI and is excited to work in the space of leveraging these capabilities in the industry.