Virtual Power Systems, Inc.

Dhanaraja Kasinathan

Shankar Ramamurthy

Ravi S Subramaniam

Karimulla Raja Shaikh

Nikhil Sharma

Martin P Leslie

In disclosed techniques, augmented power control within a datacenter uses predictive modeling. A power usage by a first data rack within a datacenter is measured, using one or more processors, over a first period of time. A predicted power usage by the first data rack over a second period of time is generated on a computing device, wherein the second period of time is subsequent to the first period of time. A power correlation model is calculated that correlates a power prediction to an actual power usage. The predicted power usage for the second period of time is refined, based on the predicted power usage and the power correlation model. The refining is accomplished using a power prediction model comprising the predicted power usage and the power correlation model. Datacenter power structure is configured, based on the refined power usage prediction.

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San Jose, CA, United States of America

Dhanaraja Kasinathan