US 12,298,727 B2
AI-based energy edge platform, systems, and methods having a digital twin of decentralized infrastructure
Charles H. Cella, Pembroke, MA (US); and Andrew Cardno, San Diego, CA (US)
Assigned to Strong Force EE Portfolio 2022, LLC, Fort Lauderdale, FL (US)
Filed by Strong Force EE Portfolio 2022, LLC, Fort Lauderdale, FL (US)
Filed on Dec. 8, 2023, as Appl. No. 18/534,017.
Application 18/534,017 is a continuation in part of application No. PCT/US2022/050932, filed on Nov. 23, 2022.
Application 18/534,017 is a continuation in part of application No. PCT/US2022/050924, filed on Nov. 23, 2022.
Claims priority of provisional application 63/375,225, filed on Sep. 10, 2022.
Claims priority of provisional application 63/302,016, filed on Jan. 21, 2022.
Claims priority of provisional application 63/299,727, filed on Jan. 14, 2022.
Claims priority of provisional application 63/291,311, filed on Dec. 17, 2021.
Claims priority of provisional application 63/282,510, filed on Nov. 23, 2021.
Prior Publication US 2024/0103594 A1, Mar. 28, 2024
Int. Cl. G05B 19/042 (2006.01); G01R 21/133 (2006.01); G05B 13/02 (2006.01); G05B 13/04 (2006.01); G06F 1/26 (2006.01); G06N 3/08 (2023.01); G06N 5/043 (2023.01); G06N 10/00 (2022.01); G06N 20/00 (2019.01); G06Q 10/067 (2023.01); G06Q 30/018 (2023.01); G06Q 50/02 (2012.01); G06Q 50/26 (2012.01); H02J 3/00 (2006.01); H02J 3/14 (2006.01); H02J 3/32 (2006.01); H02J 3/38 (2006.01); H02J 13/00 (2006.01); H04L 41/0833 (2022.01); H04L 41/14 (2022.01); H04L 41/16 (2022.01); G06F 30/27 (2020.01); G06Q 50/06 (2012.01)
CPC G05B 19/042 (2013.01) [G01R 21/133 (2013.01); G05B 13/0265 (2013.01); G05B 13/04 (2013.01); G05B 13/042 (2013.01); G06F 1/26 (2013.01); G06N 3/08 (2013.01); G06N 5/043 (2013.01); G06N 10/00 (2019.01); G06N 20/00 (2019.01); G06Q 10/067 (2013.01); G06Q 30/018 (2013.01); G06Q 50/02 (2013.01); G06Q 50/26 (2013.01); H02J 3/003 (2020.01); H02J 3/004 (2020.01); H02J 3/144 (2020.01); H02J 3/32 (2013.01); H02J 3/381 (2013.01); H02J 13/00001 (2020.01); H02J 13/00002 (2020.01); H04L 41/0833 (2013.01); H04L 41/145 (2013.01); H04L 41/16 (2013.01); G05B 2219/2639 (2013.01); G06F 30/27 (2020.01); G06Q 50/06 (2013.01); G06Q 2220/00 (2013.01); H02J 2203/10 (2020.01); H02J 2203/20 (2020.01); H02J 2300/40 (2020.01)] 21 Claims
OG exemplary drawing
 
1. An artificial intelligence-based (AI-based) platform for enabling intelligent orchestration and management of power and energy, the AI-based platform comprising:
a digital twin system including a plurality of digital twins of energy operating assets, the plurality of digital twins of energy operating assets including at least one of,
at least one energy generation digital twin,
at least one energy storage digital twin,
at least one energy delivery digital twin, or
at least one energy consumption digital twin; and
a set of energy simulation systems configured to generate a simulation of energy-related behavior of at least one of the plurality of digital twins,
wherein the set of energy simulation systems is configured to receive as input, for the simulation of energy-related behavior, at least one of,
a historical pattern of at least one of the energy operating assets,
a current state of the at least one of the energy operating assets, or
a predicted state of the at least one of the energy operating assets,
wherein a simulation output of the simulation of energy-related behavior includes,
an energy need associated with the plurality of digital twins, and
a quantity of energy availability associated with the plurality of digital twins,
wherein at least one of the plurality of digital twins is configured to orchestrate a delivery of energy to a set of consumption points that is associated with the energy need from a set of energy generation locations that is associated with the quantity of energy availability,
wherein orchestrating the delivery of energy includes,
determining, using the simulation output, at least one point of consumption of the set of consumption points,
determining, using the simulation output, at least one energy generation location of the set of energy generation locations, and
determining, using the simulation output, a delivery method for the delivery of energy from the at least one energy generation location to the at least one point of consumption, and
wherein the delivery method includes at least one of,
a fixed transmission line,
an instance of wireless energy transmission,
a delivery of fuel, or
a delivery of stored energy.