AI-based energy edge platform, systems, and methods having a robotic process automation system
An AI-based platform for enabling intelligent orchestration and management of power and energy is provided herein. The AI-based platform includes a set of adaptive, autonomous data handling systems, wherein each of the adaptive, autonomous data handling systems is configured to collect data relating to energy generation, energy storage, energy delivery, and/or energy consumption, wherein the data is collected from a set of edge devices that are in operational control of a set of distributed energy resources; and a set of intelligent agents configured to, by robotic process automation, autonomously adjust, based on the collected data, a set of operational parameters for such operational control.
1. An artificial-intelligence-based (AI-based) platform for enabling intelligent orchestration and management of power and energy, the AI-based platform comprising:
a set of adaptive, autonomous data handling systems, wherein,
each of the adaptive, autonomous data handling systems is configured to collect data relating to a set of energy-related processes including at least one of an energy generation process, an energy storage process, an energy delivery process, or an energy consumption process, and
the data is collected from a set of edge devices that is in operational control of a set of distributed energy resources related to the set of energy-related processes;
a set of intelligent agents configured to, by robotic process automation,
autonomously adjust, based on the collected data, a set of operational parameters for the operational control of the set of distributed energy resources, and
determine, based on the collected data, a set of priorities associated with the set of energy-related processes, wherein the set of priorities includes a respective priority associated with a respective energy-related process, and
an adaptive energy data pipeline configured to,
in response to a determination that the respective priority of the respective energy-related process is low, automatically select a low-cost route for data related to the respective energy-related process that is communicated across a set of nodes in a network, and
in response to a determination that the respective priority of the respective energy-related process is high, automatically select a high-quality-of-service route for data related to the respective energy-related process that is communicated across the set of nodes.
2. The AI-based platform of claim 1 , wherein the set of intelligent agents is configured to perform robotic process automation by observing and emulating human interactions with computer-based interfaces.
3. The AI-based platform of claim 1 , wherein,
each of the adaptive, autonomous data handling systems is configured to adapt a transport of data over at least one of a network or a communication system, and
the adapting is based on at least one of,
a congestion condition,
a delay condition,
a 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.
4. The AI-based platform of claim 1 , wherein each of the adaptive, autonomous data handling systems includes 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.
5. The AI-based platform of claim 1 , wherein each of the adaptive, autonomous data handling systems includes an adaptive energy digital twin that is configured to perform at least one of,
providing at least one of a visual indicator or an analytic indicator of energy consumption by at least one energy consumer,
filtering energy data,
highlighting energy data, or
adjusting energy data.
6. The AI-based platform of claim 1 , wherein each of the adaptive, autonomous data handling systems includes an adaptive energy digital twin that is configured to generate at least one of a visual indicator or an 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.
7. The AI-based platform of claim 1 , wherein each of the adaptive, autonomous data handling systems is configured to perform at least one of,
extracting energy-related data,
detecting errors in energy-related data,
correcting errors in energy-related data,
transforming energy-related data,
converting energy-related data,
normalizing energy-related data,
cleansing energy-related data,
parsing energy-related data,
detecting patterns in energy-related data,
detecting content in energy-related data,
detecting objects in energy-related data,
compressing energy-related data,
streaming energy-related data,
filtering energy-related data,
loading energy-related data,
storing energy-related data,
routing energy-related data,
transporting energy-related data, or
maintaining security of energy-related data.
8. The AI-based platform of claim 1 , wherein,
the data collected from the set of edge devices is based on at least one public data resource, and
the at least one public data resource includes at least one of,
a weather data resource,
a satellite data resource,
a census data resource,
a population data resource,
a demographic data resource,
a psychographic data resource,
a market data resource, or
an ecommerce data resource.
9. The AI-based platform of claim 1 , wherein,
the data collected from a set of edge devices is based on at least one enterprise data resource, and
the at least one enterprise data resource includes at least one of,
resource planning data,
sales data,
marketing data,
financial planning data,
demand planning data,
supply chain data,
procurement data,
pricing data,
customer data,
product data, or
operating 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,
at least one label,
at least one human interaction with a hardware system,
at least one human interaction with a 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,
each of the adaptive, autonomous data handling systems is configured to orchestrate a 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 each of the adaptive, autonomous data handling systems is 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 event,
an energy sale event,
a service charge associated with an energy purchase event,
a service charge associated with an energy 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,
at least one of the adaptive, autonomous data handling systems 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 set of nodes includes a set of edge networking devices that governs at least one of,
energy consumption,
energy storage,
energy delivery, or
energy consumption by a set of operating devices that are controlled via the set of edge networking devices.
15. The AI-based platform of claim 1 , wherein,
the adaptive energy data pipeline includes a set of artificial intelligence capabilities, and
the set of artificial intelligence capabilities is configured to adapt the adaptive energy data pipeline to enable regulation of elements of data transmission in coordination with energy orchestration needs.
16. The AI-based platform of claim 1 , wherein the respective priority is based on an energy usage associated with the respective energy-related process.
17. The AI-based platform of claim 1 , wherein the respective priority is based on a target metric of the respective energy-related process.
18. The AI-based platform of claim 17 , wherein the target metric is an efficiency requirement of the respective energy-related process.
19. The AI-based platform of claim 1 , wherein the set of intelligent agents is configured to optimize the set of energy-related processes based on the set of priorities.
20. The AI-based platform of claim 19 , wherein,
the set of energy-related processes includes an energy consumption process, and
the set of intelligent agents is configured to optimize energy consumption of the energy consumption process based on the set of priorities.
21. The AI-based platform of claim 1 , wherein,
the respective energy-related process is an energy storage process, and
the set of intelligent agents is configured to determine an energy storage requirement of the respective energy-related process based on,
the respective priority, and
an amount of renewable energy available to the respective energy-related process.
22. The AI-based platform of claim 21 , wherein the amount of renewable energy is based on at least one of historical weather conditions, current weather conditions, or anticipated weather conditions.
23. The AI-based platform of claim 1 , wherein the robotic process automation by which the set of priorities associated with the set of energy-related processes is determined is based on at least one of,
at least one rule or policy, wherein the at least one rule or policy is set by at least one of a user or an intelligent agent,
at least one target metric that is set by at least one of a user or an intelligent agent,
at least one declaration of a mission-critical operation, wherein the at least one declaration is by at least one of a user or an intelligent agent, or
at least one priority among a set of operating assets or activities, wherein the priority is declared by at least one of a user or an intelligent agent.
24. A method of enabling intelligent orchestration and management of power and energy via an artificial-intelligence-enabled (AI-enabled) platform, the method comprising:
collecting, by a set of adaptive, autonomous data handling systems, data relating to a set of energy-related processes including at least one of an energy generation process, an energy storage process, an energy delivery process, or an energy consumption process, wherein the data is collected from a set of edge devices that is in operational control of a set of distributed energy resources related to the set of energy-related processes;
autonomously adjusting, by a set of intelligent agents, a set of operational parameters for the operational control of the set of distributed energy resources, wherein the adjusting is performed by robotic process automation and is based on the collected data;
determining, by the set of intelligent agents, a set of priorities associated with the set of energy-related processes, wherein,
the set of priorities includes a respective priority associated with a respective energy-related process, and
the determining is performed by robotic process automation and is based on the collected data;
in response to a determination that the respective priority of the respective energy-related process is low, automatically selecting a low-cost route for data related to the respective energy-related process that is communicated across a set of nodes in a network, wherein the data is communicated by an adaptive energy data pipeline; and
in response to a determination that the respective priority of the respective energy-related process is high, automatically selecting a high-quality-of-service route for data related to the respective energy-related process that is communicated across the set of nodes, wherein the data is communicated by the adaptive energy data pipeline.
25. The method of claim 24 , further comprising performing, by the set of intelligent agents, robotic process automation by observing and emulating human interactions with computer-based interfaces.
26. The method of claim 24 , wherein the respective priority is based on at least one of:
an energy usage associated with the respective energy-related process, or
a target metric of the respective energy-related process.