Unlocking Power System Intelligence: Leveraging Graph Data Models for a Smarter Grid

February 02, 2026
26AB
Data Analytics , Digital Transformation , Grid Modernization , Asset Management

As utilities modernize and integrate increasingly diverse data sources, the need for a unified, flexible, and insight-driven data architecture becomes critical. In this session, we explore how graph databases are transforming asset management, engineering, and operations by aligning data architecture with the real-world complexity of utility and power system design.

Graph databases offer a highly connected, relationship-first model that mirrors the business logic of utility and transmission networks. This approach enables seamless integration of data from operational systems, planning and engineering studies, and asset records into a cohesive framework that supports advanced analytics, compliance initiatives, and informed decision-making.

This session will demonstrate how a graph-based data framework:

  • Aligns business and data models to eliminate costly transformations and improve comprehension of scattered data.
  • Integrates diverse data sources into a unified insight engine supporting resource allocation, device configuration management, and compliance triggers.
  • Enhances data readability and traversal, enabling faster, more accurate insights across the full asset lifecycle.
  • Supports future scalability and digital twin readiness through standardized, highly connected modeling.

Attendees will gain a practical understanding of how graph databases empower a smarter grid by transforming traditional data silos into a dynamic, interconnected ecosystem. By mirroring the real-world relationships within utility networks, graph-based models enable faster, more intuitive insights across asset lifecycles, operational contexts, and planning scenarios. This modern approach not only enhances situational awareness and decision-making but also lays the groundwork for scalable innovation, supporting digital twins, predictive analytics, and adaptive grid management. Ultimately, it’s this shift toward relationship-centric, insight-ready data architecture that unlocks the true intelligence of the modern grid.

Speakers
Nate Klingerman
Nate Klingerman, Director, Data System Design - Quanta Technology, LLC
Benny Varughese
Benny Varughese, Central Engineering - Consolidated Edison
Mohamed Omer
Mohamed Omer, Senior Manager - Salt River Project (SRP)
Saman Alaeddini
Saman Alaeddini, Vice President, Digital Transformation - Quanta Technology, LLC
Chairperson
Amanda Lane
Amanda Lane - AEP Transmission