US 12,292,772 B2
Local power storage automation
James R. Salvadore, Amherst, NH (US); Jimmy P. Nyhan, Riverstick (IE); and Arieh Don, Newton, MA (US)
Assigned to DELL PRODUCTS L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Jul. 19, 2023, as Appl. No. 18/354,846.
Prior Publication US 2025/0028374 A1, Jan. 23, 2025
Int. Cl. G06F 1/00 (2006.01); G05F 1/66 (2006.01); G06F 1/26 (2006.01); H02J 3/00 (2006.01); H02J 3/38 (2006.01)
CPC G06F 1/263 (2013.01) [G05F 1/66 (2013.01); H02J 3/003 (2020.01); H02J 3/381 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising at least one processor, wherein the processor is configured to:
based on historical power consumption data applicable to a data center rack, determine a predicted future power consumption by the data center rack;
determine energy resource data of an energy resource available for consumption by the data center rack, wherein the energy resource data comprises energy unit cost, energy transfer rate, and usage limit applicable to the energy resource;
based on the predicted future power consumption by the data center rack and the energy resource data, and based on a defined power criterion being determined to be satisfied, power the data center rack via the energy resource; and
based further on the predicted future power consumption, generate, using a resource addition model generated using machine learning based on past resource addition costs and past power consumption, recommendation data representative of a recommendation to install an additional energy resource available to the data center rack.