Systems and methods for managing power on an electric power grid including a server for communicating IP-based messages over a network with distributed power consuming devices and/or power supplying devices, the IP-based messages including information including a change in state of the power consuming device(s), a directive for a change in state of the power consuming device(s), a priority message, an alert, a status, an update, a location with respect to the electric power grid, a function, device attributes, and combinations thereof.

Systems and methods for managing power supplied over an electric power grid by an electric utility and/or other market participants to multiple power consuming devices, each of which having a Power Supply Value (PSV) associated with its energy consumption and/or reduction in consumption. Power flow to the power consuming devices is selectively enabled and disabled, or power-reduced thereto, by one or more controllable devices controlled by the client device. Power control messages from a controlling server indicate amounts of electric power to be reduced and an identification of at least one controllable device to be instructed to disable or reduce a flow of electric power to one or more associated power consuming devices.

Disclosed is a personal carbon emission right certification trade system, comprising: a popular traffic-based carbon emission right calculation part 140 configured to calculate a first carbon emission right to which the first carbon emission reduction amount is applied; an environment-friendly vehicle-based carbon emission right calculation part 150 configured to calculate a second carbon emission right to which the second carbon emission reduction amount is applied; and a carbon emission right trade part 160 configured to transfer the carbon emission rights including the first carbon emission right and the second carbon emission right to a different user in response to a request for transfer of the carbon emission rights.

A controller includes a processing circuit comprising one or more processors and memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include determining a gradient of an objective function with respect to a constraint variable used to define a constraint on a control process that uses the objective function and modifying the constraint variable to have a modified value in response to determining that a trigger condition is satisfied. The trigger condition is based on the gradient. The operations include performing the control process subject to the constraint using the modified value of the constraint variable and operating equipment in accordance with a result of the control process.

A platform for updating one or more properties of one or more digital twins including receiving a request for one or more digital twins; retrieving the one or more digital twins required to fulfill the request from a digital twin datastore; retrieving one or more dynamic models corresponding to one or more properties that are depicted in the one or more digital twins indicated by the request; selecting data sources from a set of available data sources based on the one or more inputs of the one or more dynamic models; obtaining data from selected data sources; determining one or more outputs using the retrieved data as one or more inputs to the one or more dynamic models; and updating the one or more properties of the one or more digital twins based on the one or more outputs of the one or more dynamic models.

A robot fleet platform for preparing a job request includes one or more processors configured to execute instructions. The instructions include a job request ingestion system configured to receive job content relating to at least one of picking, packing, moving, storing, warehousing, transporting or delivering of items in a supply chain. The job content includes an electronic job request and related data. The instructions include a job content parsing system configured to apply filters to the received job content to identify candidate portions thereof for robot automation. The instructions include a fleet intelligence layer that activates a set of intelligence services to process terms in the candidate portions of the job content and receive therefrom at least one recommended robot task and associated contextual information. The instructions include a demand intelligence layer that provides real time information relating to a parameter of demand for the items in the supply chain.

A robot fleet management platform includes one or more processors configured to execute instructions. The instructions include receiving a job request comprising information descriptive of job deliverable and request-specific constraints for delivering the job deliverable. The instructions include applying content and structural filters to content received in association with a job request to identify portions thereof suitable for robot automation. The instructions include establishing a set of robot tasks, each defining at least a type of robot and a task objective, based on the portions of the job request that are suitable for robot automation and meet a first fleet objective. The instructions include applying fleet configuration services to the job content and the set of robot tasks to produce a fleet resource configuration data structure for the job request that associates at least one robot operating unit with each task in the set of tasks and robot adaptation instructions.

A system and method for settling monetary and quota-allocated dual currency transactions may be used to reduce Co2 emissions. Each purchasable item (product or service) in the system may have a monetary price and a Carbon price whose value corresponds to a number of Kg of Co2 emitted by the manufacture/sale/use of the purchasable item. The system and method individualizes the reduction of Co2 emissions and allows each consumer to choose purchasable items in part based on the Carbon price.

Behavior data associated with a user is obtained. The behavior data is generated when the user uses an Internet service and includes a user identification and identification information indicating the Internet service. At least one predefined carbon-saving quantity quantization algorithm is determined based on the identification information related to the Internet service. A carbon-saving quantity associated with the user is calculated based on the obtained behavior data and the determined at least one predefined carbon-saving quantity quantization algorithm. Based on the calculated carbon-saving quantity associated with the user and the user identification, user data is processed. The user data is related to the carbon-saving quantity associated with the user.

A method for generating a drilling plan for drilling a wellbore at a field includes receiving data. The data includes one or more of geological properties at the field, wellbore properties, drilling tool parameters, rig characteristics of drilling rigs, and working practices of a plurality of drilling crews. The method also includes generating a plurality of candidate drilling plans for drilling the wellbore at the field. The method also includes estimating one or more outputs for the candidate drilling plans based at least partially upon the data. The one or more outputs include an amount of emissions generated to drill the wellbore using the candidate drilling plans. The method also includes presenting for selection one or more of the candidate drilling plans based at least partially upon the one or more outputs.