Abstract
Deregulation of the power industry and the shifting of investment into different types of generation capacity such as distributed energy resources have complicated today?s power grid and pushed it nearer to its operating limits. As a consequence, operations of the power grid have become significantly more dependent on complex computer-based, analytically intensive operating procedures. This article explains how common information model standards enable the acquisition and integration of data from a variety of sources and time frames, as required by utility analytics, to operate the grid close to capacity.
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