US 12,307,301 B2
Operational value optimization for data center power and computational load
Patrick A. Kelly, New Canaan, CT (US); Bryan Keller, Yarmouth, ME (US); Reuben Govender, Calgary (CA); Samy Biyadi, Angers (FR); and Adam Ziskind, Stamford, CT (US)
Assigned to CIPHER TECHNOLOGY INC., New York, NY (US)
Filed by CIPHER TECHNOLOGY INC., New York, NY (US)
Filed on Jul. 10, 2023, as Appl. No. 18/349,748.
Prior Publication US 2025/0021395 A1, Jan. 16, 2025
Int. Cl. G06F 9/50 (2006.01); G06Q 30/0283 (2023.01); G06Q 50/06 (2024.01)
CPC G06F 9/505 (2013.01) [G06Q 30/0283 (2013.01); G06Q 50/06 (2013.01)] 27 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
receiving a plurality of inputs in real-time associated with operational efficiency and profitability of a resource site;
applying a defined logic to the plurality of inputs, wherein the logic analyzes changes in operational efficiency and profitability of the resource site in real-time based on the plurality of inputs;
dynamically determining an operational value optimization for the resource site based on the defined logic, wherein the operational value optimization comprises a profitability analysis based on a cost of power of the resource site and wherein the profitability analysis comprises determining a projected duration of peaks or valleys of the cost of power, weighing the cost associated with the projected duration of peaks or valleys against the cost of temporarily curtailing power usage and compute load of the resource site to predict a magnitude of a financial impact associated with temporarily curtailing the power usage; and
performing real-time controls of power or compute load at the resource site in accordance with the profitability analysis, wherein the real-time controls comprise at least temporarily curtailing or modifying the compute load of the resource site to control power usage when the predicted magnitude of the financial impact is a positive financial impact.