US 11,727,319 B2
Systems and methods for improving resource utilization for a fleet of machines
Charles Howard Cella, Pembroke, MA (US)
Assigned to Strong Force TX Portfolio 2018, LLC, Fort Lauderdale, FL (US)
Filed by Strong Force TX Portfolio 2018, LLC, Santa Monica, CA (US)
Filed on Nov. 22, 2019, as Appl. No. 16/692,642.
Application 16/692,642 is a continuation of application No. PCT/US2019/030934, filed on May 6, 2019.
Claims priority of provisional application 62/787,206, filed on Dec. 31, 2018.
Claims priority of provisional application 62/751,713, filed on Oct. 29, 2018.
Claims priority of provisional application 62/667,550, filed on May 6, 2018.
Prior Publication US 2020/0104178 A1, Apr. 2, 2020
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 9/50 (2006.01); G06N 3/08 (2023.01); G06Q 10/04 (2023.01); G06Q 30/0201 (2023.01); G06N 20/00 (2019.01); G06F 16/23 (2019.01); G06Q 30/0202 (2023.01); G06F 9/46 (2006.01); G06Q 10/0631 (2023.01); G06Q 10/067 (2023.01); G06Q 40/04 (2012.01); G06Q 50/06 (2012.01); G06Q 50/18 (2012.01); G06N 5/04 (2023.01); G06Q 20/22 (2012.01); G06Q 20/38 (2012.01); G06Q 30/0241 (2023.01); G06Q 30/0273 (2023.01); H02J 3/00 (2006.01); H02J 3/28 (2006.01); G06F 21/10 (2013.01); G06Q 20/40 (2012.01); G06F 9/48 (2006.01); G06Q 20/36 (2012.01); H04L 47/78 (2022.01); G06N 3/02 (2006.01); G06Q 20/06 (2012.01); G06F 16/951 (2019.01); G06F 9/38 (2018.01); H04L 47/783 (2022.01); G06Q 30/0204 (2023.01); G06Q 40/10 (2023.01); G06F 16/24 (2019.01); G06Q 50/04 (2012.01); H04L 9/00 (2022.01); H04L 12/14 (2006.01); H04L 47/70 (2022.01); G06F 16/18 (2019.01); H02J 3/38 (2006.01); G05B 19/00 (2006.01); G05B 19/418 (2006.01); G06F 9/54 (2006.01); G06Q 30/06 (2023.01); G06F 18/214 (2023.01); H02J 3/14 (2006.01); G06F 16/27 (2019.01); G06F 16/182 (2019.01); G06F 30/27 (2020.01); G06N 3/04 (2023.01); G06Q 50/00 (2012.01); H04L 9/06 (2006.01); G06F 16/2457 (2019.01); G06Q 30/0251 (2023.01); G06N 3/044 (2023.01); G06N 3/047 (2023.01); H04L 67/12 (2022.01)
CPC G06Q 10/04 (2013.01) [G05B 19/00 (2013.01); G05B 19/4188 (2013.01); G05B 19/41865 (2013.01); G06F 9/3836 (2013.01); G06F 9/3891 (2013.01); G06F 9/466 (2013.01); G06F 9/4806 (2013.01); G06F 9/4881 (2013.01); G06F 9/50 (2013.01); G06F 9/5005 (2013.01); G06F 9/5016 (2013.01); G06F 9/5027 (2013.01); G06F 9/5072 (2013.01); G06F 9/541 (2013.01); G06F 16/182 (2019.01); G06F 16/1865 (2019.01); G06F 16/23 (2019.01); G06F 16/2365 (2019.01); G06F 16/2379 (2019.01); G06F 16/24 (2019.01); G06F 16/27 (2019.01); G06F 16/951 (2019.01); G06F 18/2148 (2023.01); G06F 18/2155 (2023.01); G06F 21/105 (2013.01); G06F 30/27 (2020.01); G06N 3/02 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/067 (2013.01); G06Q 10/0631 (2013.01); G06Q 10/06314 (2013.01); G06Q 10/06315 (2013.01); G06Q 20/06 (2013.01); G06Q 20/065 (2013.01); G06Q 20/0655 (2013.01); G06Q 20/29 (2013.01); G06Q 20/367 (2013.01); G06Q 20/389 (2013.01); G06Q 20/38215 (2013.01); G06Q 20/405 (2013.01); G06Q 20/4016 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0202 (2013.01); G06Q 30/0205 (2013.01); G06Q 30/0206 (2013.01); G06Q 30/0247 (2013.01); G06Q 30/0273 (2013.01); G06Q 30/06 (2013.01); G06Q 40/04 (2013.01); G06Q 40/10 (2013.01); G06Q 50/04 (2013.01); G06Q 50/06 (2013.01); G06Q 50/184 (2013.01); H02J 3/008 (2013.01); H02J 3/14 (2013.01); H02J 3/28 (2013.01); H02J 3/388 (2020.01); H04L 9/50 (2022.05); H04L 12/14 (2013.01); H04L 47/783 (2013.01); H04L 47/788 (2013.01); H04L 47/823 (2013.01); G05B 2219/36542 (2013.01); G06F 9/3838 (2013.01); G06F 16/2457 (2019.01); G06N 3/044 (2023.01); G06N 3/047 (2023.01); G06N 3/0418 (2013.01); G06Q 20/4015 (2020.05); G06Q 30/0254 (2013.01); G06Q 30/0276 (2013.01); G06Q 50/01 (2013.01); G06Q 2220/00 (2013.01); G06Q 2220/12 (2013.01); G06Q 2220/18 (2013.01); H02J 3/003 (2020.01); H04L 9/0643 (2013.01); H04L 67/12 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A transaction-enabling system, comprising:
a regenerative energy facility;
a fleet of machines, each having a requirement for at least one of a compute task, a networking task, or an energy consumption task;
a controller; and
a non-transitory computer-readable medium storing a set of instructions that, when executed, cause the controller to:
determine an amount of a resource for each of the machines to service the requirement for the at least one of the compute task, the networking task, and the energy consumption task for each corresponding machine, the resource comprising an energy resource produced by the regenerative energy facility; and
adaptively improve a resource utilization of the resource for each requirement for each corresponding machine, the adaptively improving the resource utilization comprising:
maintaining a training data set for at least one of a machine learning component, an artificial intelligence component, or a neural network component, the training data set comprising feedback data indicating outcomes of previous resource utilization of the resource, historical prices for the resource on a market for the resource, and at least one of facility parameters, yield, profitability, optimization of resources, optimization of business objectives, satisfaction of goals, satisfaction of users, or satisfaction of operators; and
by the at least one of a machine learning component, an artificial intelligence component, or a neural network component, iteratively self-adjusting:
the resource utilization of the resource based on the feedback data of the training data set;
delivery, to the fleet of machines, of the resource produced by the regenerative energy facility; and
sale of excess energy, not delivered to the fleet of machines, produced by the regenerative energy facility on the market for the resource.