An AI-based platform for enabling intelligent orchestration and management of power and energy is disclosed. The platform includes a digital twin system having a digital twin of a mining environment. The digital twin includes at least one parameter that is detected by a sensor of the mining environment. In some disclosed embodiments, the at least one parameter is associated with one or more of an unmined portion of the mining environment a mining of materials from the mining environment, a smart container event involving a smart container associated with the mining environment, a physiological status of a miner associated with the mining environment, a transaction-related event associated with the mining environment, and a compliance of the mining environment with one or more contractual, regulatory, and/or legal policies.

An AI-based platform for enabling intelligent orchestration and management of power and energy is disclosed. The platform includes a digital twin system having a digital twin of a mining environment. The digital twin includes at least one parameter that is detected by a sensor of the mining environment. In some disclosed embodiments, the at least one parameter is associated with one or more of an unmined portion of the mining environment a mining of materials from the mining environment, a smart container event involving a smart container associated with the mining environment, a physiological status of a miner associated with the mining environment, a transaction-related event associated with the mining environment, and a compliance of the mining environment with one or more contractual, regulatory, and/or legal policies.

The present invention provides an optimization method and system for minimizing network energy consumption based on traffic grooming. The method includes: generating a set of service requests in an elastic optical network, and calculating a reachable node set of shortest paths from source to destination nodes for each service request; establishing a virtual reachable path in the reachable node set of shortest paths; and establishing a target function of an integer linear programming model of the minimizing network energy consumption, and sequentially determining whether a bandwidth capacity constraint of a single spectrum slot, a path uniqueness constraint, a spectrum allocation constraint, and an optical regenerator quantity constraint are satisfied, where if all constraints are satisfied, the service request is successfully established, or if any of the constraints is not satisfied, the service request fails to be established. The present invention helps to improve the energy efficiency of service requests.

The present invention provides an optimization method and system for minimizing network energy consumption based on traffic grooming. The method includes: generating a set of service requests in an elastic optical network, and calculating a reachable node set of shortest paths from source to destination nodes for each service request; establishing a virtual reachable path in the reachable node set of shortest paths; and establishing a target function of an integer linear programming model of the minimizing network energy consumption, and sequentially determining whether a bandwidth capacity constraint of a single spectrum slot, a path uniqueness constraint, a spectrum allocation constraint, and an optical regenerator quantity constraint are satisfied, where if all constraints are satisfied, the service request is successfully established, or if any of the constraints is not satisfied, the service request fails to be established. The present invention helps to improve the energy efficiency of service requests.

A cluster computing device is defined, associated with a plurality of network nodes of the communications network, and it generates a performance model relating configuration parameters of a network node to at least one energy performance parameter of the network node. The cluster computing device transfers the generated performance model to the plurality of network nodes, and then receives information from network nodes, indicating configuration parameters and at least one energy performance parameter of the respective network node. When the cluster computing device identifies a first network node as having a poor performance, it also identifies a second network node as having a good performance, and it causes the first network node to operate with cloned configuration parameters of the second network node.

Some embodiments of the invention provide a network forwarding element that can be dynamically reconfigured to adjust its data message processing to stay within a desired operating temperature or power consumption range. In some embodiments, the network forwarding element includes (1) a data-plane forwarding circuit (“data plane”) to process data tuples associated with data messages received by the IC, and (2) a control-plane circuit (“control plane”) for configuring the data plane forwarding circuit. The data plane includes several data processing stages to process the data tuples. The data plane also includes an idle-signal injecting circuit that receives from the control plane configuration data that the control plane generates based on the IC's temperature. Based on the received configuration data, the idle-signal injecting circuit generates idle control signals for the data processing stages. Each stage that receives an idle control signal enters an idle state during which the majority of the components of that stage do not perform any operations, which reduces the power consumed and temperature generated by that stage during its idle state.

Methods, systems, and apparatus for monitoring and controlling electronic devices using wired and wireless protocols are disclosed. The systems and apparatus may monitor their environment for signals from electronic devices. The systems and apparatus may take and disambiguate the signals that are received from the devices in their environment to identify the devices and associate control signals with the devices. The systems and apparatus may use communication means to send control signals to the identified electronic devices. Multiple apparatuses or systems may be connected together into networks, including mesh networks, to make for a more robust architecture.

Disclosed herein are AI-based platforms for enabling intelligent orchestration and management of power and energy. In various embodiments, a set of edge devices includes a set of artificial intelligence systems that are configured to process data handled by the edge devices and determine, based on the data, a mix of energy generation, storage, delivery and/or consumption characteristics for a set of systems that are in local communication with the edge devices and to output a data set that represents the constituent proportions of the mix. In some embodiments, the output data set indicates a fraction of energy generated by an energy grid and a fraction of energy generated by a set of distributed energy resources that operate independently of the energy grid. In some embodiments, the output data set indicates a fraction of energy generated by renewable energy resources and a fraction of energy generated by nonrenewable resources.

Systems and methods described herein make previously stranded power capacity (power that is provisioned for a data center according to a computing system's nameplate power consumption but is currently not useable) available to the data center. Systems described herein generate empirical power profiles that specify expected upper bounds for the power consumption levels that applications trigger. Using the upper bounds for application power-consumption levels, a computing system described herein can reliably release part of its provisioned nameplate power for other systems or data center consumers, reducing the amount of stranded power in a data center. The method described herein avoids performance penalties for most jobs by using sensor measurements made at a rapid rate explained herein to ensure that a system power cap based on running application's measured peak power consumption is reliable with reference to the power capacitance inherent in the computing system.

A method of for performing carbon neutralization in a communication network is provided. The method includes receiving a service task from a user equipment. The method also includes obtaining a carbon neutralization calculation parameter related to performing the received service task. The method further includes selecting, based on the obtained carbon neutralization calculation parameter, a target entity from a plurality of candidate targets at which the received service task can be performed. The method further includes sending the received service task to the selected target entity.