| CPC G05B 19/042 (2013.01) [G01R 21/133 (2013.01); G05B 13/0265 (2013.01); G06N 3/08 (2013.01); G06N 5/043 (2013.01); G06N 10/00 (2019.01); G06N 20/00 (2019.01); 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 3/32 (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)] | 25 Claims |

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1. An artificial-intelligence-based (AI-based) platform for enabling intelligent orchestration and management of power and energy, comprising:
a set of edge devices including a set of artificial intelligence systems that is configured to,
process data handled by the set of edge devices;
determine, based on the data, a mix of energy parameters for a set of systems, wherein,
the set of systems is in local communication with the set of edge devices,
the energy parameters relate to least one of energy generation by the set of systems, energy storage by the set of systems, or energy delivery by the set of systems, and
the mix of the energy parameters is determined based on (i) energy types defined by energy characteristics corresponding to the set of systems and (ii) a set of consumption characteristics of the set of systems; and
generate an output data set that indicates constituent proportions of the mix of the energy parameters; and
according to the output data set, orchestrate at least one of energy generation, energy storage, or energy delivery to at least one point of consumption defined by the set of consumption characteristics.
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