Intelligent Orchestration Systems for Energy and Power Grid Entities Fused With Distributed Energy- and Power-Related Entities

Abstract

Disclosed herein are AI-based platforms for enabling intelligent orchestration and management of power and energy. In various embodiments, a data processing system is configured to fuse at least one entity of an energy grid entity generation, storage, delivery or consumption grid data set with at least one entity of an off-grid energy entity generation, storage, delivery and/or consumption data set. In some embodiments, the data processing system is configured to automatically time align energy grid entity data with off-grid energy entity data. In some embodiments, the data processing system is configured to automatically collect off-grid energy entity sensor data from a set of edge devices via which a set of off-grid energy entities are controlled. In some embodiments, the data processing system automatically normalizes the energy grid entity data and the off-grid energy entity data such as to present the data according to a set of common units.

1 . An AI-based platform for enabling intelligent orchestration and management of power and energy, comprising:
 a data processing system configured to fuse at least one entity of an energy grid entity generation, storage, delivery or consumption grid data set with at least one entity of an off-grid energy entity generation, storage, delivery and/or consumption data set.   
     
     
         2 . The AI-based platform of  claim 1 , wherein the data processing system is configured to automatically time align energy grid entity data with off-grid energy entity data. 
     
     
         3 . The AI-based platform of  claim 1 , wherein the data processing system is configured to automatically collect off-grid energy entity sensor data from a set of edge devices via which a set of off-grid energy entities are controlled. 
     
     
         4 . The AI-based platform of  claim 1 , wherein the data processing system is configured to automatically normalize the energy grid entity data and the off-grid energy entity data such as to present the data according to a set of common units. 
     
     
         5 . The AI-based platform of  claim 1 , wherein the data processing system is further configured to adapt a transport of data over a network and/or communication system, wherein the adapting is based on at least one of,
 a congestion condition,   a delay and/or latency condition,   a packet loss condition,   an error rate condition,   a cost of transport condition,   a quality-of-service (QoS) condition,   a usage condition,   a market factor condition, or   a user configuration condition.   
     
     
         6 . The AI-based platform of  claim 1 , further comprising an adaptive energy digital twin that represents at least one of,
 an energy stakeholder entity,   an energy distribution resource,   a stakeholder information technology,   a networking infrastructure entity,   an energy-dependent stakeholder production facility,   a stakeholder transportation system,   a market condition, or   an energy usage priority condition.   
     
     
         7 . The AI-based platform of  claim 1 , further comprising an adaptive energy digital twin that is configured to perform at least one of,
 providing a visual and/or analytic indicator of energy consumption by at least one energy consumer,   filtering energy data,   highlighting energy data, or   adjusting energy data.   
     
     
         8 . The AI-based platform of  claim 1 , further comprising an adaptive energy digital twin that is configured to generate a visual and/or analytic indicator of energy consumption by at least one of,
 at least one machine,   at least one factory, or   at least one vehicle in a vehicle fleet.   
     
     
         9 . The AI-based platform of  claim 1 , wherein the data processing system is further configured to perform at least one of,
 extracting energy-related data,   detecting and/or correcting errors in energy-related data,   transforming, converting, normalizing, and/or cleansing energy-related data,   parsing energy-related data,   detecting patterns, content, and/or objects in energy-related data,   compressing energy-related data,   streaming energy-related data,   filtering energy-related data,   loading and/or storing energy-related data,   routing and/or transporting energy-related data, or   maintaining security of energy-related data.   
     
     
         10 . The AI-based platform of  claim 1 , further comprising at least one AI-based model and/or algorithm, wherein the at least one AI-based model and/or algorithm is trained based on a training data set, and the training data set is based on at least one of,
 at least one human tag and/or label,   at least one human interaction with a hardware and/or software system,   at least one outcome,   at least one AI-generated training data sample,   a supervised learning training process,   a semi-supervised learning training process, or   a deep learning training process.   
     
     
         11 . The AI-based platform of  claim 1 , wherein the data processing system is further configured to orchestrate delivery of energy to at least one point of consumption, and the delivery of the energy includes at least one of,
 at least one fixed transmission line,   at least one instance of wireless energy transmission,   at least one delivery of fuel, or   at least one delivery of stored energy.   
     
     
         12 . The AI-based platform of  claim 1 , wherein the data processing system is further configured to record, in a distributed ledger and/or blockchain, at least one energy-related event, the at least one energy-related event including at least one of,
 an energy purchase and/or sale event,   a service charge associated with an energy purchase and/or sale event,   an energy consumption event,   an energy generation event,   an energy distribution event,   an energy storage event,   a carbon emission production event,   a carbon emission abatement event,   a renewable energy credit event,   a pollution production event, or   a pollution abatement event.   
     
     
         13 . The AI-based platform of  claim 1 , wherein the at least one entity of an off-grid energy generation, storage, and/or consumption data set is deployed in an off-grid environment, and the off-grid environment includes at least one of,
 an off-grid energy generation system,   an off-grid energy storage system, or   an off-grid energy mobilization system.   
     
     
         14 . The AI-based platform of  claim 1 , wherein the data processing system is further configured to intelligently orchestrate and manage power and/or energy based on a data set of energy generation, storage, and/or consumption data for a set of infrastructure assets, and the data set is produced at least in part by a set of sensors contained in and/or governed by a set of edge devices. 
     
     
         15 . The AI-based platform of  claim 1 , wherein the data processing system is further configured to manage at least one of,
 generation of energy by a set of distributed energy generation resources,   storage of energy by a set of distributed energy storage resources,   delivery of energy by a set of distributed energy delivery resources, or   consumption of energy by a set of distributed energy consumption resources.   
     
     
         16 . The AI-based platform of  claim 1 , wherein the data processing system is further configured to intelligently orchestrate and manage power and/or energy of a set of entities, wherein the set of entities includes at least one of,
 a weather data resource,   a satellite data resource,   a census, population, demographic, and/or psychographic data resource,   a market data resource, or   an ecommerce data resource.   
     
     
         17 . The AI-based platform of  claim 1 , wherein the data processing system is further configured to execute at least one algorithm that perform a simulation of energy consumption by at least one of the entities, wherein the simulation is based on a data set that includes alternative state or event parameters for at least one of the entities that reflect alternative consumption scenarios, and the algorithms accesses a demand response model that accounts for how energy demand responds to changes in a price of energy or a price of an operation or activity for which the energy is consumed. 
     
     
         18 . The AI-based platform of  claim 1 , wherein the data processing system includes a policy and governance engine that is configured to deploy a set of rules and/or policies to at least one edge device that is in local communication with at least one of the entities, and the edge device is configured to govern at least one of the entities based on the rules and/or policies. 
     
     
         19 . The AI-based platform of  claim 1 , wherein the data processing system includes an analytic system that represents a set of operating parameters and current states of at least one of the entities based on a set of sensed parameters, the set of sensed parameters is generated by a set of edge devices that are in proximity to at least one of the entities, and the analytic system is configured to provide a recommendation associated with at least one the at least one of the entities or at least one additional available entity. 
     
     
         20 . The AI-based platform of  claim 1 , wherein the data processing system includes an artificial intelligence system that is trained on a historical data set relating to energy generation, storage, and/or utilization of an operating process associated with at least one of the entities, and the data processing system is further configured to,
 analyze an energy pattern for the operating process, and   output a forecast of energy requirements of the operating process based on a current state and/or information associated with at least one of the entities.