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Most engineering organizations are experimenting with AI, but few have a clear framework for deciding where it should actually be used. This article explores how engineering teams can evaluate where AI adds value, and where it doesn’t.
This paper introduces a methodology for determining contexts in which AI tools can genuinely enhance engineering knowledge work, offering a practice-oriented solution tailored to the power systems engineering domain.
Authored by Carson Bates, PhD, PE, Chief Engineer – Power Systems Across the Western Interconnection, inverter-based resource modeling is becoming…
This paper examines large-scale electrification of unconventional oil and gas fields, addressing the power system challenges created by high-density, mobile loads such as e-drilling and e-fracturing. It outlines a private-use network approach designed to support reliability, flexibility, and long-term system stability at scale.
In the past, the relationship between data centers and electric utilities was straightforward: utilities planned the grid, delivered power, and…