25results about "Financial management" patented technology

An automated carbon asset network system and a carbon asset management method are provided. The automated carbon asset network system includes a carbon asset management digital platform realizing a carbon inventory executed for an enterprise through a computer system, and the carbon asset management digital platform includes a carbon asset network establishing module, a carbon asset network connection module, and a carbon asset network update module. The carbon asset management method includes: receiving data for stakeholders, internal or external carbon asset management digital platform, carbon asset management report formats, and carbon inventory obtained through automated customized questionnaires, by using the application program interface; automatically integrating carbon inventory data for supply chains and performing version control; digitally managing a full scope of an organizational greenhouse gas inventory and product carbon footprint information throughout product life cycles for brands in the enterprise; and generating documents according to requirements.

An information technology system generally includes a cloud-based management platform with a micro-services architecture deploying a set of adaptive intelligence facilities that can be configured to automate a set of capabilities of the platform related to at least one of the value chain network entities and the features of the platform and a set of data storage facilities that can be configured to store data collected and handled by the platform. The data can be related to at least one of the value chain network entities and the features of the platform. A set of monitoring facilities can be configured to monitor the value chain network entities. The platform can be configured to host a set of applications for directing an enterprise to manage the value chain network entities from a point of origin of a product of the enterprise to a point of customer use.

To disclose an automated carbon asset network system.SOLUTION: An automated carbon asset network (hereinafter, referred to as NW) system 30 includes a computer-implemented carbon asset management digital platform (hereinafter, referred to as PF) 300 for conducting corporate carbon surveys. The PF 300 is equipped with a carbon asset NW architecture module, a carbon asset NW connection module, and a carbon asset NW update module. An API 310 receives carbon survey data obtained from stakeholders, internal and external carbon asset management digital PFs, carbon asset management report formats, and automated customized surveys within the carbon asset management digital PF, automatically integrates and version-controls supply chain carbon survey data, and digitally manages greenhouse gas surveys for all categories of organizations within the company, as well as product carbon footprint information for each product's lifecycle.SELECTED DRAWING: Figure 3

The present invention relates to a method for determining the value of electric energy in consideration of a power generation source in an EV ecosystem and a device for performing same. The method for determining the value of electric energy in consideration of a power generation source in an EV ecosystem may comprise: a step in which an EV ecosystem management device determines the incentive of an EV power plant on the basis of a power generation source of the EV power plant; and a step in which the EV ecosystem management device determines the carbon emission right to be allocated to the EV power plant on the basis of the power generation source of the EV power plant.

A system and method for trading of carbon credits is provided. The system comprises a server computing device comprising at least one hardware processor and memory; program instructions stored in the memory and executable in the server computing device that, when executed, direct the server computing device to: communicate with a plurality of vehicles over a communication network; receive distance information from a respective one of the vehicles detailing distance traveled by the respective one of the vehicles; generate a carbon credit based at least in part on the distance information received from the respective one of the vehicles; and associate the carbon credit with a user account associated with the respective one of the vehicles.

In embodiments, a method for configuring an intelligent agent to do a task based on spatial-temporal magnetic imaging data of the brain of a worker is disclosed. The method includes generating a brain region parameter indicating an active neocortex region associated with visual processing during performance of the task based on the spatial-temporal magnetic imaging data. The method further includes selecting a convolutional neural network (CNN) component type in response to a match between the brain region parameter and an associated CNN component type. The method includes configuring the intelligent agent based on the selected CNN component and a neocortical processing flow parameter derived using the spatial-temporal magnetic imaging data, wherein the intelligent agent is configured to process image data using the CNN component and provide an output of the CNN to another AI component via a data connection created based on the neocortical processing flow parameter.

Systems and methods for allocating energy including distributing and receiving energy using a mobile energy storage (MEES) system at locations of a power supplier in an energy market system by a user. Determine allocating amounts of energy for the MEES system and for each time interval for all time intervals for an upcoming operating time period based on a set of uncertain parameters using an optimization model. Base on calculating an objective function using uncertain parameters. Update the objective function using constraints. While optimizing the objective function for a value hierarchy associated with energy and reserve bidding scenarios for the user and delivery scheduling for the MEES system based upon the stored user risk preferences. Control scheduling of the MEES system between the locations of the power supplier, according to allocating of the amount of the electrical energy for the MEES system at the locations of the power supplier.

A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.

The present invention relates to a method for determining the value of electric energy in consideration of a power generation source in an EV ecosystem and a device for performing same. The method for determining the value of electric energy in consideration of a power generation source in an EV ecosystem may comprise: a step in which an EV ecosystem management device determines the incentive of an EV power plant on the basis of a power generation source of the EV power plant; and a step in which the EV ecosystem management device determines the carbon emission right to be allocated to the EV power plant on the basis of the power generation source of the EV power plant.

The present invention relates to a method for managing carbon credits in an EV ecosystem and an apparatus for performing such a method. The method for managing carbon credits in an EV ecosystem comprises the steps in which an EV ecosystemmanaging device: receives EV eco-data containing activity data of EV ecosystem-participating devices; and generates carbon credits on the basis of the EV eco-data.

A climate technology ecosystem is disclosed that automates the collection and processing of data by way of programmed computer software to automatically generate uniform encrypted carbon credit certificates that can be traded on peer-to-peer exchanges or as derivatives. The Autonomous Climate Technology Ecosystem (ACTE) creates a network of information derived from nine systems designed to: sensor, qualify, measure, encode, encrypt, issue, index, register, and exchange, all of which rely upon artificial intelligence to identify, calculate and quantify the source and origin of carbon and automatically generate uniform encrypted carbon credit certificates based upon the nature and attributes of the carbon and associated CO2e.

A system may include a non-transitory computer-readable storage medium storing instructions for execution and one or more processors that execute the instructions. The instructions may cause the one or more processors to configure at least one parameter of a crowdsourcing request related to obtaining information relating to a collateral for a loan, publish the crowdsourcing request related to obtaining the information relating to the collateral for the loan to a group of information suppliers, collect and process a response from an information supplier of the group of information suppliers, where the response includes information on a condition of the collateral for the loan, process the response provided by the information supplier to determine whether an information supply event relating to the response is successful, and respond to a determination of a successful information supply event.

The present invention relates to a method for determining the value of electric energy in an EV ecosystem taking into account the power generation source, and an apparatus for performing such a method. The method for determining the value of electric energy in an EV ecosystem taking into account the power generation source includes: a step in which an EV ecosystem management apparatus determines an incentive for an EV power plant based on the power generation source of the EV power plant; and a step in which the EV ecosystem management apparatus determines carbon emission credits to be allocated to the EV power plant based on the power generation source of the EV power plant.

A method, computer program product, and computer system for assessing carbon sequestration contribution of a nature-based asset located in a water environment are provided. The method includes obtaining a meta descriptor of the nature-based asset and a meta descriptor of a region of the water environment in which the asset is located; mapping a size of the nature-based asset; accessing data of a monitored physical property of the asset in the water environment based on the meta descriptor of the asset; accessing data of a monitored carbon concentration in the region of the water environment based on the meta descriptor of the region; accessing data of monitored physical, chemical, and biological properties of the water environment based on the meta descriptor of the region; and applying a model to the accessed data to assign a carbon sequestration contribution per unit of measurement of the nature-based asset.

The present invention provides a carbon value assessment ("carbon valuation") system, which includes an information processing device that evaluates an amount of greenhouse gas ("GHG") reduction expected to occur by a technology project in a currency value, on the basis of: estimated reduction of greenhouse gas ("estimated GHG reduction amount") which is an amount of GHG reduction presumed to be induced by the technology project that is a target to be assessed; a calculation period of the GHG reduction during which the GHG reduction occurs due to the technology project; a discount rate that quantifies possible risks occurring in the technology project; and an emission permit price.

Systems, methods and apparatus for a robotic process automation system for consolidating a set of loans are disclosed herein. An example system may include a set of data collection and monitoring services for collecting information about a set of loans and for collecting a training set of interactions between entities for a set of loan consolidation transactions; an artificial intelligence system that is trained on the training set of interactions to classify a set of loans as candidates for consolidation; and a robotic process automation system that is trained on a set of loan consolidation interactions to manage consolidation of at least a subset of the set of loans on behalf of a party to the consolidation.

The invention relates to an automatic carbon asset network system and a carbon asset management method, the system comprises a carbon asset management digital platform for executing carbon checking aiming at an enterprise through a computer system, and the system is provided with a carbon asset network construction module, a carbon asset network link module and a carbon asset network updating module. The application programming interface is used for receiving interested persons, internal and external carbon asset management digital platforms, a carbon asset management report format and carbon inventory data obtained by automatically customizing questionnaires through the carbon asset management digital platforms, automatically integrating the carbon inventory data of a supply chain and performing version control; and the product carbon footprint information of the whole-category organization greenhouse gas interrogation and the life cycle of each product under each brand in the enterprise is managed in a digital mode, and then a file is generated according to requirements.

The present invention relates to a method for managing carbon credits in an EV ecosystem and an apparatus for performing such a method. The method for managing carbon credits in an EV ecosystem comprises the steps in which an EV ecosystem managing device: receives EV eco-data containing activity data of EV ecosystem-participating devices; and generates carbon credits on the basis of the EV eco-data.

The present invention relates to a method for managing carbon emission credits in an EV ecosystem and an apparatus for performing such a method, the method comprising the steps of: receiving EV eco-data including activity data of EV ecosystem participating devices by an EV ecosystem management apparatus; and generating carbon emission credits based on the EV eco-data by the EV ecosystem management apparatus.

A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.

The present invention relates to a method for determining the value of electric energy in consideration of a power generation source in an EV ecosystem and a device for performing same. The method for determining the value of electric energy in consideration of a power generation source in an EV ecosystem may comprise: a step in which an EV ecosystem management device determines the incentive of an EV power plant on the basis of a power generation source of the EV power plant; and a step in which the EV ecosystem management device determines the carbon emission right to be allocated to the EV power plant on the basis of the power generation source of the EV power plant.

The methane resource matching system 1 comprises: a first terminal device 30 that is equipped at the source of food waste, and that inputs information relating to food waste; a second terminal device 20 that is equipped at the biogas plant, and that inputs information relating to an operating status at the biogas plant; a third terminal device 40 that is equipped at a support company, which investigates the source of food waste and the biogas plant, and that inputs information relating the food waste at the source and the operating status at the biogas plant; and a management server 10 that is equipped at a general headquarters, which oversees the bio-gasification of food waste, and that manages the source of food waste, the biogas plant and the bio-gasification of food waste at the support company, wherein the first terminal device 30, the second terminal device 20, the third terminal device 40, and the management server 10 are connected to one another via the network.

This invention provides methods and systems for managing value chain network entities, including supply chain and demand management entities. [Solution] The value chain network management platform 604 includes a set of interfaces 702 for accessing and configuring platform functions, a set of network connectivity equipment 642 for a set of value chain network entities to connect to the platform, a set of adaptive intelligent equipment 614 for automating a set of platform functions, a set of data storage equipment 624 for storing data collected and processed by the platform, and a set of monitoring equipment 614 for monitoring value chain network entities.

The present invention relates to a method for managing carbon credits in an EV ecosystem and an apparatus for performing such a method. The method for managing carbon credits in an EV ecosystem comprises the steps in which an EV ecosystemmanaging device: receives EV eco-data containing activity data of EV ecosystem-participating devices; and generates carbon credits on the basis of the EV eco-data.

An automated carbon asset network system (30) and a carbon asset management method are provided. The automated carbon asset network system (30) includes a carbon asset management digital platform (300) realizing a carbon inventory executed for an enterprise through a computer system, and the carbon asset management digital platform (300) includes a carbon asset network establishing module (301), a carbon asset network connection module (303), and a carbon asset network update module (305). The carbon asset management method includes: receiving data for stakeholders (311), internal or external carbon asset management digital platform (312, 313), carbon asset management report formats (314, 315), and carbon inventory obtained through automated customized questionnaires (316), by using the application program interface (310); automatically integrating carbon inventory data for supply chains and performing version control; digitally managing a full scope of an organizational greenhouse gas inventory and product carbon footprint information throughout product life cycles for brands in the enterprise; and generating documents according to requirements.