Edge-deployed machine learning systems for energy regulation
An AI-based platform for enabling intelligent orchestration and management of at least one operating process is provided herein. The AI-based platform includes an artificial intelligence system that is configured to generate a prediction of an energy pattern associated with the at least one operating process. The AI-based platform is also configured to manage the at least one operating process based on the prediction of the energy pattern.
1 . An artificial-intelligence-based (AI-based) platform for enabling intelligent orchestration and management of power and energy, comprising:
an artificial intelligence system configured to,
learn to regulate energy associated with a set of systems that is controlled by at least one edge device, and
determine a delivery of energy from at least one energy source to at least one energy consumer of the set of systems,
wherein determining the delivery of energy includes at least one of,
determining a delivery route of the delivery of energy,
determining a timing of the delivery of energy,
determining a delivery method of the delivery of energy, or
determining a type of energy of the delivery of energy,
wherein determining the delivery of energy includes matching the at least one energy source with the at least one energy consumer, and
wherein the matching the at least one energy source with the at least one energy consumer is based on a correspondence between,
at least one energy production criterion of the at least one energy source, and
at least one energy consumption criterion of the at least one energy consumer.
2 . The AI-based platform of claim 1 , wherein,
the artificial intelligence system learns to regulate the energy associated with the set of systems based on a training data set, and
the training data set is based on energy intelligence data associated with the set of systems.
3 . The AI-based platform of claim 2 , wherein,
the training data set is based on data collected from a set of sensors, and
the set of sensors is associated with the at least one edge device.
4 . The AI-based platform of claim 1 , wherein at least a portion of the AI-based platform is deployed on at least one of the at least one edge device.
5 . The AI-based platform of claim 1 , wherein regulating the energy associated with the set of systems includes regulating at least one of,
energy generation by the set of systems,
energy storage by the set of systems,
energy delivery to the set of systems, or
energy consumption by the set of systems.
6 . The AI-based platform of claim 1 , wherein the artificial intelligence system is configured to determine at least one energy-related characteristic for a set of energy resources that is in local communication with the at least one edge device.
7 . The AI-based platform of claim 6 , wherein the at least one energy-related characteristic includes at least one of,
at least one generation characteristic,
at least one energy storage characteristic,
at least one energy delivery characteristic, or
at least one energy consumption characteristic.
8 . The AI-based platform of claim 6 , wherein the at least one energy-related characteristic includes at least one of,
at least one energy type,
at least one energy amount, or
at least one energy capacity.
9 . The AI-based platform of claim 1 , wherein,
the artificial intelligence system is associated with at least one physical machine,
the at least one physical machine is associated with the set of systems, and
the artificial intelligence system is configured to manage at least one process associated with the at least one physical machine.
10 . The AI-based platform of claim 1 , wherein,
the artificial intelligence system is configured to orchestrate a delivery of energy to the set of systems based on at least one operating parameter, and
the at least one operating parameter includes at least one of,
a current energy status of the set of systems,
a future energy status of the set of systems,
a current energy consumption by the set of systems,
a future energy consumption by the set of systems,
a current activity performed by the set of systems, or
a future activity performed by the set of systems.
11 . The AI-based platform of claim 1 , wherein the artificial intelligence system is configured to determine a delivery of energy to the set of systems based on,
a probability of a deficiency of available energy at the set of systems, and
a consequence of the deficiency of available energy at the set of systems.
12 . The AI-based platform of claim 1 , wherein the artificial intelligence system is configured to,
monitor at least one of,
an overall energy consumption by the set of systems, or
a role of at least one infrastructure asset of the set of systems in an overall energy consumption by at least a portion of the set of systems, and
based on the monitoring, perform at least one of,
managing an energy consumption by the set of systems,
forecasting an energy consumption by the set of systems, or
provisioning resources associated with energy consumption by the set of systems.
13 . The AI-based platform of claim 1 , wherein,
the artificial intelligence system is configured to,
generate a simulation of energy-related behavior of the set of systems, and
generate a predicted state of the set of systems, and
the simulation of energy-related behavior includes a simulation of carbon emissions of the set of systems based on at least one of,
at least one historical pattern of the set of systems,
at least one current state of the set of systems, or
at least one predicted state of the set of systems.
14 . The AI-based platform of claim 1 , wherein the artificial intelligence system is configured to perform at least one of,
providing at least one of a visual indicator or an analytic indicator of energy consumption by the set of systems,
filtering energy data associated with the set of systems,
highlighting energy data associated with the set of systems,
adjusting energy data associated with the set of systems, or
generating at least one of a visual indicator or an analytic indicator of energy consumption by at least one of,
at least one machine of the set of systems,
at least one factory of the set of systems, or
at least one vehicle of the set of systems.
15 . The AI-based platform of claim 1 , wherein,
the artificial intelligence system includes at least one AI-based model or algorithm,
the at least one AI-based model 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.
16 . The AI-based platform of claim 1 , wherein,
the artificial intelligence system is configured to continue learning based on a prediction delta, and
the continued learning includes at least one of,
a retraining of the artificial intelligence system based on the prediction delta,
an adjusting of a prediction correction applied to predictions of the artificial intelligence system based on the prediction delta,
a supplementing of the artificial intelligence system with at least one additional trained machine learning model, or
a replacing of at least a portion of the artificial intelligence system with at least one substitute trained machine learning model.
17 . A method of enabling intelligent orchestration and management of power and energy via an artificial-intelligence-enabled (AI-enabled) platform, comprising:
learning, by the AI-enabled platform, to regulate energy associated with a set of systems that are controlled by at least one edge device; and
determining a delivery of energy from at least one energy source to at least one energy consumer of the set of systems;
wherein determining the delivery of energy includes at least one of,
determining a delivery route of the delivery of energy,
determining a timing of the delivery of energy,
determining a delivery method of the delivery of energy, or
determining a type of energy of the delivery of energy,
wherein determining the delivery of energy includes matching the at least one energy source with the at least one energy consumer, and
wherein the matching the at least one energy source with the at least one energy consumer is based on a correspondence between,
at least one energy production criterion of the at least one energy source, and
at least one energy consumption criterion of the at least one energy consumer.
18 . The method of claim 17 , wherein regulating the energy associated with the set of systems includes regulating at least one of,
energy generation by the set of systems,
energy storage by the set of systems,
energy delivery to the set of systems, or
energy consumption by the set of systems.
19 . The method of claim 17 , wherein the at least one energy production criterion includes at least one of,
a criterion associated with an energy volatility of the at least one energy source,
a criterion associated with a peak energy of the at least one energy source,
a criterion associated with a baseline energy of the at least one energy source, or
a criterion associated with an energy delivery route requirement of the at least one energy source.
20 . The method of claim 17 , wherein the at least one energy production criterion includes at least one of,
a criterion associated with a current resource expenditure associated with acquiring, storing, or delivering the energy by the at least one energy source,
a criterion associated with a future resource expenditure associated with acquiring, storing, or delivering the energy by the at least one energy source,
a criterion associated with a current demand for the energy of the at least one energy source,
a criterion associated with a future demand for the energy of the at least one energy source,
a criterion associated with a location of the at least one energy source,
a criterion associated with a timing requirement of the at least one energy source,
a criterion associated with an energy type of the at least one energy source,
a criterion associated with a set of environmental factors,
a criterion associated with a set of operational priorities of the at least one energy source,
a criterion associated with a pollution level of the at least one energy source,
a criterion associated with a carbon production level of the at least one energy source, or
a criterion associated with a waste heat level of the at least one energy source.
21 . The method of claim 17 , wherein the at least one energy production criterion includes,
a criterion associated with an energy volatility of the at least one energy source,
a criterion associated with a peak energy of the at least one energy source,
a criterion associated with a baseline energy of the at least one energy source, and
a criterion associated with an energy delivery route requirement of the at least one energy source.
22 . The method of claim 17 , wherein the at least one energy consumption criterion includes at least one of,
a criterion associated with an energy volatility requirement of the at least one energy consumer,
a criterion associated with a peak energy requirement of the at least one energy consumer,
a criterion associated with a baseline energy requirement of the at least one energy consumer, or
a criterion associated with an energy delivery route requirement of the at least one energy consumer.
23 . The method of claim 17 , wherein the at least one energy consumption criterion includes at least one of,
a criterion associated with a periodic energy requirement of the at least one energy consumer,
a criterion associated with a current quantity of energy stored by the at least one energy consumer,
a criterion associated with a predicted quantity of energy stored by the at least one energy consumer,
a criterion associated with a location requirement of the at least one energy consumer,
a criterion associated with a timing requirement of the at least one energy consumer,
a criterion associated with an energy delivery route requirement of the at least one energy consumer,
a criterion associated with an energy type requirement of the at least one energy consumer,
a criterion associated with a set of environmental factors,
a criterion associated with a set of operational priorities of the at least one energy consumer,
a criterion associated with a pollution requirement, or
a criterion associated with a carbon production requirement.
24 . The method of claim 17 , wherein the at least one energy consumption criterion includes,
a criterion associated with an energy volatility requirement of the at least one energy consumer,
a criterion associated with a peak energy requirement of the at least one energy consumer,
a criterion associated with a baseline energy requirement of the at least one energy consumer, and
a criterion associated with an energy delivery route requirement of the at least one energy consumer.
25 . The method of claim 17 , wherein the delivery of energy to the set of systems includes delivering energy from the at least one energy source.
26 . The AI-based platform of claim 1 , wherein the at least one energy production criterion includes at least one of,
a criterion associated with an energy volatility of the at least one energy source,
a criterion associated with a peak energy of the at least one energy source,
a criterion associated with a baseline energy of the at least one energy source, or
a criterion associated with an energy delivery route requirement of the at least one energy source.
27 . The AI-based platform of claim 1 , wherein the at least one energy production criterion includes at least one of,
a criterion associated with a current resource expenditure associated with acquiring, storing, or delivering the energy by the at least one energy source,
a criterion associated with a future resource expenditure associated with acquiring, storing, or delivering the energy by the at least one energy source,
a criterion associated with a current demand for the energy of the at least one energy source,
a criterion associated with a future demand for the energy of the at least one energy source,
a criterion associated with a location of the at least one energy source,
a criterion associated with a timing requirement of the at least one energy source,
a criterion associated with an energy type of the at least one energy source,
a criterion associated with a set of environmental factors,
a criterion associated with a set of operational priorities of the at least one energy source,
a criterion associated with a pollution level of the at least one energy source,
a criterion associated with a carbon production level of the at least one energy source, or
a criterion associated with a waste heat level of the at least one energy source.
28 . The AI-based platform of claim 1 , wherein the at least one energy production criterion includes,
a criterion associated with an energy volatility of the at least one energy source,
a criterion associated with a peak energy of the at least one energy source,
a criterion associated with a baseline energy of the at least one energy source, and
a criterion associated with an energy delivery route requirement of the at least one energy source.
29 . The AI-based platform of claim 1 , wherein the at least one energy consumption criterion includes at least one of,
a criterion associated with an energy volatility requirement of the at least one energy consumer,
a criterion associated with a peak energy requirement of the at least one energy consumer,
a criterion associated with a baseline energy requirement of the at least one energy consumer, or
a criterion associated with an energy delivery route requirement of the at least one energy consumer.
30 . The AI-based platform of claim 1 , wherein the at least one energy consumption criterion includes at least one of,
a criterion associated with a periodic energy requirement of the at least one energy consumer,
a criterion associated with a current quantity of energy stored by the at least one energy consumer,
a criterion associated with a predicted quantity of energy stored by the at least one energy consumer,
a criterion associated with a location requirement of the at least one energy consumer,
a criterion associated with a timing requirement of the at least one energy consumer,
a criterion associated with an energy delivery route requirement of the at least one energy consumer,
a criterion associated with an energy type requirement of the at least one energy consumer,
a criterion associated with a set of environmental factors,
a criterion associated with a set of operation priorities of the at least one energy consumer,
a criterion associated with a pollution requirement, or
a criterion associated with a carbon production level.
31 . The AI-based platform of claim 1 , wherein the at least one energy consumption criterion includes,
a criterion associated with an energy volatility requirement of the at least one energy consumer,
a criterion associated with a peak energy requirement of the at least one energy consumer,
a criterion associated with a baseline energy requirement of the at least one energy consumer, and
a criterion associated with an energy delivery route requirement of the at least one energy consumer.
32 . The AI-based platform of claim 1 , wherein the delivery of energy to the set of systems includes delivering energy from the at least one energy source.