106results about "Market predictions" patented technology

The present disclosure provides a system for quantifying drivers of growth of niche categories. The system includes a data collection module configured to receive consumer data collected using surveys, an analysis module configured to identify consumer segments using factor analysis of the received consumer data, a market size estimation module configured to estimate market size for each identified consumer segment based on current consumption, a demographic categorization module configured to create sub-groups based on demographics, a growth potential determination module configured to determine growth potential by regressing consumption behavior on the identified consumer segments and consumer demographics using multinomial regression, and a market size prediction module configured to predict potential market size based on model weights and predicted probability of switching between consumer classes.

A method of controlling access to a plurality of digital content items by a plurality of consumers on devices connected to a network, the method comprising acts of: in a network browsing program on a processor connected to the network: enabling access for a first of the plurality of consumers to one or more of the plurality of digital content items via online computer software attached to the one or more of the plurality of digital content items; displaying an identifier of the one or more of the plurality of digital content items together with a plurality of selectable alternatives for making payments to enable access to the one or more of the plurality of digital content items, wherein the alternatives are selected from paying at least one of money and watching an advertisement; and in response to the first consumer selecting one of the alternatives the online computer software determining completion of payment of at least one of money and watching an advertisement.

The disclosure provides a diversity perception model training method and device, and a recommendation ranking method and device. It relates to the technical field of artificial intelligence, and in particular to the technical fields of big data processing, deep learning, intelligent recommendation, etc. The specific implementation scheme is as follows: a plurality of samples and a plurality of sample corresponding perception labels are obtained; the user features, resource features and diversity perception features corresponding to the plurality of samples are input into a to-be-trained model to obtain the perception values of the users to the resources corresponding to the plurality of samples; and the to-be-trained model is trained according to the perception values and the perception labels corresponding to the plurality of samples to obtain a diversity perception model. According to the scheme of the disclosure, the diversity perception model can predict the diversity perception of different users to resources, thereby improving the accuracy of recommendations.

This art asset value evaluation system using artificial intelligence may comprise: a memory for storing instructions; and a processor. When executed by the processor, the instructions can instruct the system to: collect, from a plurality of data sources, artwork-related data including artist information, artwork characteristic information and market transaction information; normalize the collected data to generate learning data; use the learning data to train the current value prediction model, a price change prediction model, and an investment value evaluation model; use the trained models to calculate the current market value, future price change prediction, and a long-term investment value of a specific artwork; and integrate the calculated results to generate a final evaluation result.

Provided is a control device that calculates load distribution to a generator having excellent operation efficiency and determining whether to make a bid in response to a request for power supply from a power supply and demand adjustment market. A supply / demand adjustment control device includes: an acquisition unit that acquires first power requested for a power plant including a plurality of generators and second power requested from a power supply and demand adjustment market; a load distribution unit that distributes a total load that is a sum of the first power and the second power to the plurality of generators in descending order of operation efficiency, to distribute a load close to a rated load as much as possible to the generators; and a bidding determination unit that determines whether to make a bid for a request from the power supply and demand adjustment market, on the basis of whether the total load is able to be supplied.

Methods, apparatus, systems, and articles of manufacture for user identification via community detection are disclosed. Example instructions, when executed, cause at least one processor to at least access personally identifiable information to device links, build a device graph based on the personally identifiable information to device links, split components of the device graph into person clusters using community detection, create a snapshot including a device-to-person link lookup, and prepare a person-level impression measurement report from the snapshot.

This invention discloses a method for reliability assessment of distribution networks involving integrated energy parks in a market environment, belonging to the field of distribution network reliability assessment technology. The method includes: constructing constraints on multi-energy conversion equipment within the integrated energy park and quantity-price elasticity curves for end-user electricity in the integrated energy park; based on the constructed constraints on the multi-energy conversion equipment and the quantity-price elasticity curves for end-user electricity, changing the external electricity purchase price of the integrated energy park to obtain the integrated elastic quantity-price curve of the integrated energy park; constructing a two-state model of the probability distribution function of the electricity sales price and component failures according to the electricity sales price and the faults occurring in the distribution network, and generating typical distribution network operation scenarios; and simulating operation using an optimal load reduction model of the distribution network based on the electricity sales price and the electricity consumption of the integrated energy park, outputting evaluation indicators. The method described in this invention significantly improves the accuracy of the load model and achieves a complete and closed-loop quantitative reliability assessment.

Systems, methods and devices to manage user orders for geospatial information and to perform an optimization scheme for satellite resources within a satellite constellation are provided. Embodiments include computer-implemented methods comprising receiving, from a user, an order for geospatial information, wherein the order comprises at least one attribute related to the ordered geospatial information; and querying a database to identify information about other orders received from the same or different users, with the same or different attributes; and at least one of: setting a price for the geospatial information ordered by the user based at least in part on the at least one attribute and the identified other orders, or performing an optimization scheme for determining whether the ordered geospatial information can be provided to the user and the other user orders can be satisfied, and targeting at least one sensor on board a manned or unmanned aerial vehicle configured to collect the geospatial information based on the determination.

Provided are a method for regulating a wind-photovoltaic-storage power station based on electricity, green certificate, and carbon price prediction, a device, a medium, and a product. The method includes: inputting acquired historical price data into a price prediction model, and outputting a predicted price; determining a deviation vector of price data based on the historical price data and the predicted price, and generating an uncertainty set of the predicted price by using a multi-kernel-based one-class support vector machine algorithm; classifying the uncertainty set of the predicted price by using a neural network classifier, to obtain multiple types of price scenarios; solving, based on predicted prices under the multiple types of price scenarios, a joint clearing model by using a Pied Kingfisher Optimization (PKO) algorithm, to obtain an operation strategy for the wind-photovoltaic-storage power station; and regulating the wind-photovoltaic-storage power station based on the operation strategy for the wind-photovoltaic-storage power station.

An example operation includes at least one of receiving data comprising at least one of weather data, grid load data, or energy usage data related to an area, executing an Artificial Intelligence (AI) model to predict energy production in the area and energy consumption in the area, based on the received data, determining an optimized energy-related output in a timeframe, based on the predicted energy production and the predicted energy consumption, and setting, by a device associated with a location in the area, at least one control at the location based on a parameter associated with the optimized energy-related output, to produce the optimized energy-related output within the timeframe.

An energy management system may include a tokenization platform coupled with at least one energy accounting system. The energy management system may include at least one transaction monitor that may be configured to fetch transaction trace data, from the at least one energy accounting system, for executing at least one energy-related transaction between at least one first entity and at least one second entity. The at least one transaction monitor may further be configured to perform transaction reconciliation for the at least one first entity and the at least one second entity based on the fetched transaction trace data. The energy management system may include at least one token manager that may be configured to orchestrate one or more energy-backed tokens based on the transaction reconciliation for the first entity and the second entity.

Disclosed are systems and methods for predicting tariff classifications. Item descriptions of historical items and associated tariff codes / classifications are submitted to a machine learning platform, thereby creating a trained model for predicting tariff classifications. The trained model receives product data associated with new items and is utilized to generate predicted tariff classifications, which correspond to particular tariff rates. In examples, a confidence / accuracy score is applied to the prediction. The predicted tariff codes are then analyzed in view of a set of safeguard rules. If any of the predictions fail the safeguard rules, a manual user review may be triggered. Manually corrected feedback is provided for use in subsequent retraining so that the machine learning model accuracy is improved over time. If any of the predictions pass the evaluation under the safeguard rules, the predictions may be automatically approved.

The application discloses a low-carbon building scheme comparison and selection method and device, a storage medium and a computer program product, relates to the technical field of low-carbon resource management, and the method comprises the following steps: defining a building component in each candidate low-carbon building scheme as a first globally adjustable parameter, and associating a first full-life-cycle carbon emission factor and a first cost factor with the first globally adjustable parameter; capturing a parameter adjustment instruction sent by a user, calculating a carbon cost index based on the parameter adjustment instruction, the first full-life-cycle carbon emission factor and the first cost factor; obtaining an optimization target and a constraint condition set by the user, and setting a multi-objective optimization algorithm according to the optimization target and the constraint condition; inputting the carbon cost index into the multi-objective optimization algorithm for iterative calculation to obtain a Pareto optimal solution set as a low-carbon building scheme comparison and selection result. The method realizes multi-objective collaborative optimization comparison and selection of a candidate building scheme in a full life cycle.

The present disclosure provides a method for extracting demand enhancing attributes from brand imagery. The method includes receiving consumer data for a representative sample of a target population, wherein the consumer data comprises data on usage, awareness, and associations of multiple brands within a product category. The method further includes regressing the consumer data on usage and brand imagery statements for each brand, wherein the data on usage and brand imagery statements are converted to numerical values. LASSO regression is applied to extract brand attributes that separate a user from a non-user. The attributes are then sorted based on regression coefficients to determine their effectiveness in driving sales. The method enables identification of key attributes that drive product differentiation and growth, bridging the gap between manufacturer perception and consumer perception of a brand.

In a method and system for estimating an operating state of a facility, an imaging sensor (or camera) is positioned to acquire image data from a facility of interest. Image data received from the imaging sensor is stored and then processed by a computer to identify one or more regions of interest within each image. A model is then created that relates data from the pixels (i.e., pixel values) from one or more of the identified regions of interest in the image data to the operating state for the facility. As new image data is received, that image data is input into the model to estimate the operating state of the facility, and the estimated operating state is then reported to market participants.

The management of virtual content permissions for digital assets in a virtual environment includes: receiving data indicating a request from a user to assign virtual content permissions to digital assets; determining whether the requested virtual content permissions are available for assignment to the user and a set of terms for the assignment of the requested virtual content permissions; notifying the user of availability and a set of terms for assigning virtual content permissions to the user; receiving data indicating that the user agrees to the assignment, the data including at least one term from the set of consent terms; and updating the virtual content permissions database to indicate the assignment of virtual content permissions to the user.

This application relates to a pricing method and apparatus for charging and discharging at electric vehicle charging stations within industrial and commercial parks. The method includes: determining the charging and discharging energy cost and battery aging cost for each vehicle model within the target park; constructing a decision model for the owner's charging and discharging power curve for each target electric vehicle under each vehicle model based on charging and discharging price information, charging and discharging energy cost, and battery aging cost; determining the electricity market purchase cost, owner electricity interaction cost, and the number of target electric vehicles corresponding to each vehicle model within the target park; and constructing and solving an optimization decision model for the target park based on the owner's charging and discharging power curve decision model to obtain the target charging and discharging price information for the target park. This solves the problems of existing charging station pricing methods that do not use game theory to model the conflict of interest among parties, and that are unable to effectively consider battery aging costs, thus failing to provide reasonable pricing for electric vehicle services.

This recommendation control device (10) comprises: an index derivation unit (11) that derives an engagement index indicating an intimacy degree between a certain service and a customer; and a control unit (12) that, on the basis of the derived engagement index, switches a recommendation method pertaining to a customer service to one recommendation method among a plurality of recommendation methods having mutually different purposes.

This disclosure describes systems, software, and computer implemented methods that include identifying a set of baseline neurometrics for a first subset of an audience; exposing the first subset of the audience to a collection of media and measuring neurometrics of the audience during exposure to the media; identifying demographic data associated with the first subset of the audience, wherein the demographic data includes a plurality of parameters associated with individual members of the audience; identifying demographic data associated with a second subset of the audience, the second subset of the audience comprising audience members that respond to at least a portion of the collection of media; and generating a predictive model of the audience's response to the collection of media by.

A method for improved multimodal gesture recognition may include training a first model to recognize a gesture in a first input modality and using the training of the first model to recognize the gesture in the first input modality to train a second model in a second input modality to recognize the gesture.

Interaction events collected across disparate customer communication channels of an enterprise are processed to generate an encoded unique content item identifier for each content item referenced in an interaction event such that the content item is resolvable to a location in a content repository. A training data set is built using the interaction events thus processed and a multi-channel content recommendation model is trained using the training data set. The multi-channel content recommendation model thus trained stores data points representing intersections of customers and content items that the enterprise has been tracking, with each data point having an effectiveness score for an associated content item. The multi-channel content recommendation model thus trained can be queried by content designers of the disparate customer communication channels through a recommender application for content recommendations based on the effectiveness of the content, agnostic to the disparate customer communication channels.

The application discloses a method, device and electronic equipment for obtaining attention information of an object, the method comprising: displaying a stereoscopic virtual image in a virtual scene, the stereoscopic virtual image being a stereoscopic image corresponding to a virtual object in the virtual scene, the virtual object being a physical object; determining a target object in the stereoscopic virtual image, the target object being present in a display area; and determining an attention focus object in the stereoscopic virtual image based on the target object, the attention focus object belonging to at least part of the stereoscopic virtual image. The application can accurately obtain attention information of a user for a product or other physical object.

A production cost of fuel provided to a vehicle is reduced. A production plan generation system 10 generates a production plan for fuel or a vehicle and includes a condition information acquisition unit 11 acquiring condition information including information indicating an amount of fuel suppliable to a vehicle to which a produced fuel can be supplied and a production plan generation unit 12 generating the production plan including a production time of the fuel and an amount of fuel produced on the basis of the condition information acquired by the condition information acquisition unit 11.

The application relates to a time-of-use electricity price optimization method considering regional electric vehicle energy storage grid feeding, and belongs to the technical field of electric vehicle and grid interaction. The specific steps comprise the following steps: collecting historical charging load data of regional electric vehicle charging stations and piles, and collecting the willingness of electric vehicles of each user to participate in grid feeding; according to the willingness of electric vehicles of each user to participate in grid feeding, the electric vehicles are divided into two categories: electric vehicles not participating in grid feeding are taken as the first category of electric vehicles, and electric vehicles participating in grid feeding are taken as the second category of electric vehicles; constraint conditions are respectively set for the first category of electric vehicles and the second category of electric vehicles, and the influence of battery loss on the constraint conditions is comprehensively considered; a multi-objective optimization function is constructed based on a linear weighting method with the lowest total electricity price cost and the smallest charging and discharging load fluctuation as targets; and the optimal solution of the multi-objective optimization function is solved based on a PSO algorithm, that is, the optimal time-of-use electricity price of each electric vehicle at each time point in each charging period in the region.

The present invention discloses a system (100), the system being A set of electronic display devices (ESLs) (110), wherein each electronic display device in the set is configured to display content relating to a specific object associated with that electronic display device, A server (120) is connected to a communication network and configured to receive event-related data from an external data source. A controller (130) configured to communicate with a server via a communication network and with a set of electronic display devices, An event determination unit (140) is configured to determine, based on event-related data, that an event has occurred related to one or more objects associated with each of the one or more electronic display devices in the set. Includes, The controller is configured to communicate its respective update message to each of the one or more electronic display devices in the set. The electronic display device in the set is configured to display updated content in response to receiving update messages from the controller. Further methods are disclosed.

A method for a publication platform involves identifying users and their corresponding metrics, classifying users based on their likelihood to respond to incentives, identifying a targeted user group, identifying items published by a user, selecting a set of items based on management rules, generating a pluggable interface component providing a consistent recommendation interface across different device operating systems, receiving attribute values of a custom incentive signal from the user, and sending a message based on the custom incentive signal to the targeted user group.

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.

Methods for systems generating recommendations regarding a vehicle purchase are disclosed. An artificial intelligence (AI) or machine learning (ML) chatbot or voicebot is provided to receive input from a user, determine information regarding a type of vehicle based upon the input, and generate a total cost of ownership of the type of vehicle for presentation to the user. The chatbot may apply a natural language processing (NLP) algorithm to a text input to generate an intermediate input for use in determining the total cost of ownership. The voicebot may apply an audio recognition algorithm to an audio input to generate text, which may then be processed by the voicebot or the chatbot using an NLP algorithm to generate an intermediate input for use in determining the total cost of ownership.