Category: Grid Analytics

Building a data foundation for asset image analytics

Facing the challenges of an aging infrastructure, budgetary constraints, and escalating compliance demands, more utilities are realizing the operational advantages of asset image analytics. By

Data Cleansing: A Critical Step for Grid Analytics with Digital Twins

Digital twins are powerful representations of infrastructure. Increasingly used for representing electric utility grid networks, digital twins are what they say – a digital representation

Using Large Language Models for the Power Grid

Large Language Models: Applications, Limitations and Potential Risks for Power Grids

Large Language Models (LLMs) have rapidly advanced in recent years, demonstrating remarkable capabilities in natural language processing and even code generation. This paper explores the

Building an asset image analytics business case - banner image for Logic20/20 article on Utility Analytics Institute.

Building a case for asset image analytics

As utility companies aim to combat the challenges of aging infrastructure, rising costs, and increasing compliance demands, asset image analytics can be an effective tool for

Utility Emergency Event Simulation Tools

Utility emergency operation centers (EOC) make critical decisions for public safety based on information like weather, asset status, vegetation, and topography. Training on sustainable simulation

Data Collection for Asset Management: People are Key to the Process

With over 500 transmission substations and 16,400 miles of power lines, the transmission group at Tennessee Valley Authority (TVA) has plenty of assets to manage

Extreme Weather, Advanced Decision-Making: Strengthening PG&E’s Asset Management with Real-Time Risk Assessment and Forecasting

Searing heat, torrential rain, devastating floods, intense windstorms, and wildfires. Our grandmothers’ and grandfathers’ asset management models may no longer be sufficient to meet the