Abstract: An illustrative fraud deterrent method includes presenting an identity verification option for a first website displayed in a web-browser, the option including offering a login to a third-party website, unrelated to the first website. The method further includes receiving login information for a first user account on the third-party website and verifying the login information through a verification service associated with the third-party website, to verify that the login information is valid for the first user account, identified by the login information. The method additionally includes verifying an identity at the first website, responsive to the verification.

Abstract: A method for authenticating the identity of a user who is attempting to access a website or conduct a transaction is described. The method involves receiving two geographical locations, and associated time stamps, of a mobile phone associated with the user, one of the locations being the location of the transaction or access attempt. The method determines whether the speed required to travel between the two geographical locations in the elapsed time is within acceptable limits. A confidence score, derived in part from this calculation, is taken into account when deciding whether to allow or deny the access or the transaction.

Abstract: A transaction is initiated between a first party and a second party. Transaction data for the transaction is obtained and segmented into a subset provided by the first party and a subset provided by the second party. Each subset is further segmented into portions. Each portion is assigned for transmission to a particular one of the parties. A determination is made as to whether each portion is to be encoded in a data structure, a sequence of data structures, or not encoded at all and an optimal channel of communication or multiple channels of communication are selected for transmitting the corresponding portion directly to the corresponding party. At least a portion of the transaction data is provided to a cloud-based transaction service that completes the transaction on behalf of the parties.

Abstract: A distributed ledger network system designed for fast and secure transactions, energy efficient currency acquisition, fraud prevention, and resilience against network voting attacks.

Abstract: The exemplary embodiments of the present disclosure provides a method and a system for blocking illegal withdrawal of a virtual asset by monitoring unapproved fraudulent transactions in which the virtual asset address managed by the virtual asset exchange connected to the virtual asset blockchain network is designated as the transfer address and restricting withdrawal transactions using a double payment prevention policy for unapproved illegal transactions.

Abstract: A system having an object encoded with a proxy private key (PPK) generated using a digital forge process from a private key (PK) by taking a random hex string that is the same length as the private key and running it through a digital forge system until the private key is generated, a processor on a backend computing device that receives the personal identification number (PIN), a wallet address, and the PPK, and a processor on an authentication computing device that receives the PPK, the PIN, a forge cycle, and a forge set and generates a PK for signing transactions.

Abstract: Systems and methods are provided for associating authentications and authorizations in connection with network interactions. An exemplary system includes a computing device configured to receive an authorization request for a network interaction from an acquirer, where the authorization request represents a transaction to a payment account and includes a transaction amount and an accountholder authentication value (AAV) indicative of a prior authentication associated with the transaction. The computing device is configured to determine whether the authorization request, the transaction amount and/or an interval associated with the authorization request satisfies a parameter.

Abstract: A financial institution computing system includes a network circuit enabling exchanging information over a network, a customer database storing financial information and validated customer information for a plurality of customers of the financial institution, and a transaction authentication circuit configured to receive transaction information from an originating computing device; determine that the transaction is one of an on-us transaction or an off-us transaction; authenticate the transaction information, in response to the transaction being off-us, by determining that the transaction information matches information stored in a third party authentication system; authenticate the transaction information by determining, in response to the transaction being on-us, that the transaction information matches the validated customer information stored in the customer database; and transmit a confirmation message to the originating computing device.

Abstract: A method for pre-authorization of a payment transaction with tokenized credentials includes: receiving a first data set signed with a first digital signature and including an acquirer identification value and a second data set; verifying the first digital signature using a first public key of a first cryptographic key pair associated with the acquirer identification value; extracting, from the first data set in response to verification of the first digital signature, the second data set including a merchant identification value and a third data set; extracting, from the second data set, the third data set including an issuer identification value and transaction data; identifying an issuing computing system based on the issuer identification value; and transmitting a fourth data set to the issuing computing system, the fourth data set including the first data set and a steward identification value.

Abstract: A system is configured to retrieve a set of customer raw transaction data, wherein the transactions are devoid of any target transactions of interest. An impact neural network model is applied to the transaction data using a “notTarget” variable. The “notTarget” variable indicates that the target transaction of interest is not included in the transaction data. The model predicts a first result based on the “notTarget” variable. The model is applied to the transaction data using an “isTarget” variable. The “isTarget” variable indicates that the target transaction of interest is included in the set of customer raw transaction data. The model predicts a second result based on the “isTarget” variable. The system determines a difference between the second and first results. The difference is a predicted incremental impact on cardholder behavior. The system presents the predicted incremental impact on cardholder behavior to an issuer associated with the transaction data.

Abstract: The present invention discloses a system for transferring digital assets in a digital transaction and a method thereof.

Abstract: This present disclosure relates to computer-implemented methods for use in electronic fraud detection systems, and to data processing apparatus, computer programs, and computer readable storage media for performing the same. One such computer-implemented method comprises accessing a data structure comprising a plurality of transaction records; and executing one or more decision processes sharing a common ruleset, each decision process being configured to use the ruleset to output fraud decisions for transaction records, wherein a fraud decision for a transaction record is a prediction based on the ruleset as to whether the transaction to which the transaction record relates is fraudulent; wherein for each decision process, executing the decision process comprises: reading one or more transaction records for a predetermined historical period from the data structure; and determining, using the ruleset, fraud decisions for the one or more transaction records read from the data structure.

Abstract: In one embodiment, a method includes receiving, from a receiver processor, a transaction authorization request to authorize a transaction associated with a transfer of resources to a receiving entity from a user, the request including publicly routable account credentials of a virtual bank account (VBAN) generated by the receiver processor, the VBAN being associated with the receiving entity, the user, and a stored value balance of an external resource account generated by a receiver financial entity associated with the user, retrieving, from a VBAN database, a transaction resource configuration of the VBAN decoupled from the external resource account, determining whether parameters of the transaction resource configuration are satisfied based on metadata associated with the request, and transmitting, to the external server, a transaction authorization response indicating whether the transaction is authorized to cause the stored value balance to be reduced based on the transfer of resources.

Abstract: A secure authentication system, computer program recording medium and method enable secure transaction with authentication to eradicate fraud. A customer is authenticated via a customer application executed on a communication device. A customer-paced communication session is enabled between the customer application and a transaction system via a network connection. A customer continuity factor is monitored in maintaining the communication session. In response to receiving a customer request via the customer application, a level of trust in current authentication of the customer is determined based on the user continuity factor. In response to the level of trust being below a trust threshold, the customer is directed via the customer application to provide a customer request comprising a customer-supplied image having a specified contextual element. The communication session is re-authenticated to process the user input by the transaction system based on verification of the received user-supplied image.

Abstract: Tamper-proofing and secure identity validation techniques in a transaction processing system and secure electronic payment techniques are disclosed. A tamper-proof transaction processing device is provided and comprises at least two different strength adhesives to secure parts of the device together and a housing comprising at least a first and second protective layer. An electronic component comprising a secure element chip storing unique information relating to the chip is located between the first and second protective layer in the housing. In another aspect, a transaction processing system includes a payment instrument that is configured to approve only negative value and/or zero value transaction requests. Another aspect provides an identity card checking system and method where the identity card is brought into proximity of a data processing device and identity information is displayed on the screen of the data processing device for the period of time while the card is in proximity.

Abstract: A real-time communication method between at least two persons, one being a client located in a client space and at least one other person referred to as advisor located in an advisor space, the method making available to each advisor, video images and sound of the client requesting advice, instructions and indications regarding design, production, use, utilization, repair, maintenance, consultation, localization, destruction, disposal, localization and elimination and guidance for one or more products located in or moving through a real physical space referred to as product space, and making available to the client video images and sound of the advisor interacting with the images of the client space and/or the product space. Also disclosed is a video camera comprising a three-dimensional filming portion that films three-dimensional images and comprise at least one of artificial intelligence and virtual three-dimensional creation software for creating the virtual three-dimensional images.

Abstract: A system and a method for executing an update carbon dioxide (CO2) footprint optimization system for a client information handling system comprising a processor to gather telemetry describing power consumption and usage of hardware component resources during execution of a software application, to determine an execution CO2 emissions comparison index value describing a difference between CO2 emitted due to recent execution of the application relative to CO2 emitted due to the current execution at an optimal efficiency or due to a modelled, expected performance of the application after installation of an available update, and to determine an installation CO2 emissions comparison index value estimating CO2 emissions associated with an installation process of the available update. The system and method generating a user recommendation to delay installation of the update if the installation CO2 emissions comparison index value exceeds the execution CO2 emissions comparison index value to conserve CO2 emissions.

Abstract: Methods for automating a submission of a compliance filing from an organization to a regulatory authority. Methods may include enhancing compatibility of a document submitted by an entity to an organization with the latter's database to facilitate automated submission of a compliance document. Methods may include receiving a populated document in a first format from the entity, using a processor to digitize the document into a digital format, such as bytes, and further into a second format, where the first format may not be compatible with the database and the second format may be compatible with the database. Methods may include updating the database with data from the document. Methods may include using the processor to run a statistical model to determine an appropriate compliance filing relating to change in information about the entity, to populate the compliance filing, and to submit the completed compliance filing with the regulatory authority.

Abstract: A hardware right to repair prioritization system comprising a graphical user interface (GUI) to receive partial rankings of requirements for prioritizing an failing component replacement, where each requirement describes a characteristic having varied values across the failing components, a processor to generate a priority requirement ranking for all of the requirements, based on the partial rankings, determine a replacement priority rank for each failing component, based on characteristic values for each failing component and priority requirement ranking; determine a change in carbon dioxide (CO2) footprint resulting from replacement of each of the failing components, generate a CO2 optimized replacement priority rank by weighting the replacement priority rank by the change in CO2 footprint for each of the failing components; identify a failing component associated with a highest CO2 optimized replacement priority rank as a top replacement candidate, and the GUI to recommend immediate replacement of the top

Abstract: The purpose of this invention is to provide a method for efficiently managing greenhouse gas emissions, including the calculation of greenhouse gas emissions by business operators. One embodiment of the invention is a method for managing greenhouse gas emissions, wherein information regarding energy usage is determined based on input information by a business terminal, greenhouse gas emissions are calculated based on the information regarding usage, information regarding credits to offset the obtained greenhouse gas and record the information about the credits in a blockchain.

Abstract: A method of managing greenhouse gas emissions, according to one embodiment of this invention, comprises determining information regarding energy consumption based on information input by a business terminal of a first business; calculating the amount of greenhouse gas emissions based on the information on the amount of energy used; and managing the information on greenhouse gas emissions entered by a business terminal of a second business that is different from the first business as the greenhouse gas emissions of the first business.

Abstract: An information processing device includes an acquisition unit that acquires input information indicating correspondence relationship between a plurality of items regarding one or more products and a plurality of pieces of information, a standard judgment table as information indicating a standard of each of the plurality of items, and a past case example table as information indicating a past case example regarding each of the plurality of items, a detection unit that detects a non-standard item, as an item in which corresponding information is non-standard, out of the plurality of items based on the standard judgment table and the plurality of pieces of information, and a search unit that searches for a past case example regarding the non-standard item by using the past case example table.

Abstract: A system and related methods are disclosed for managing, evaluating and improving identity governance and administration. The system is configured to execute a method, which includes receiving, by a computing system, data associated with the identity governance and administration, classifying, by a computing system, the data associated with the identity governance and administration according to one or more rules, generating, by a computing system, a three-dimensional model using the classified data associated with the identity governance and administration, performing, by a computing system, a statistical analysis, and optionally displaying, by a computing system, the three-dimensional model or results of the statistical analysis, or both.

Abstract: An online concierge system for fraud detection in customer orders fulfilled by a picker. A picker client device, with an installed picker application, sends a first list of items related to a fulfilled customer order. Separately, a transaction log containing a second list of items purchased is received from the retailer's inventory system. These lists are compared to identify any unmatched items. A pretrained fraud detection model, trained on historical data with labeled instances of fraud or non-fraud, is applied to the unmatched items to assess the likelihood of fraud. If this likelihood surpasses a predefined threshold, the item is flagged as a fraudulent instance. This determination is then sent to an auditor client device for further action.

Abstract: Provided are systems and methods for inserting friction points into a user session with an online resource such as a website or mobile application. In one example, the method may include receiving user data, predicting a likelihood that the user will behave inappropriately when interacting with an online resource of the host platform based on the received user data, determining a friction point in response to the predicted likelihood the user will behave inappropriately being greater than a predetermined threshold, and modifying at least one of displayed content and interactive capabilities of the online resource which are available to the user based on the determined friction point.

Abstract: Systems and corresponding methods are provided that, in at least one embodiment, includes the act or acts of receiving a plurality of first representations; receiving a second representation of a first user; determining at least one group to which the first user belongs; determining at least one set of members of the at least one group; and filtering the plurality of first representations based, at least in part, on the at least one set of members. Each first representation represents a respective report.

Abstract: A computer-implemented method includes accessing, using an experience analytics script operating on a plurality of customer client devices, user activity data from the plurality of customer client devices having accessed a website with the experience analytics script at a plurality of sessions, identifying, at an experience analytics server, a zone-based session metric of a webpage of the website based on the user activity data, the zone-based session metric indicating a number of sessions that viewed a zone of the webpage, identifying, at the experience analytics server, a click-based session metric for the zone of the webpage based on the user activity data, the click-based session metric indicating a number of sessions with at least one click in the zone of the webpage, and computing, at the experience analytics server, a session-level zone click rate based on a ratio of the click-based session metric and the zone-based session metric.

Abstract: Systems and techniques may be used for providing product exposure metrics. For example, a technique may include extracting a set of uniform resource locator (URLs) corresponding to products from a webpage, and identifying the products by comparing the set of URLs to a product catalogue. The technique may include determining, from the identified products, a set of products that were displayed on a user interface of the user device. An insight may be provided related to at least one product of the set of products that were displayed.

Abstract: A method of implementing a scenario library includes generating a first sourcing event scenario using a scenario library and based on a first request received from a first client device. The method also includes storing the first sourcing event scenario as one of the plurality of sourcing event scenarios at the scenario library. The method further includes modifying a sourcing event template for generating the sourcing event by at least adding a reference to the first sourcing event scenario to the sourcing event template. The method further includes generating the sourcing event using the modified sourcing event template and based on a second request from one of the plurality of client devices. The method further includes displaying, in response to the second request, the generated possible combination of suppliers for the sourcing event. Related systems and articles of manufacture are provided.

Abstract: A computing system receives a plurality of payloads from a plurality of computing devices, each of the plurality of payloads comprising one or more events for a pageview corresponding to a respective website. For every predefined time period, the computing system collects a plurality of payloads received within the predefined time period, stores the collected plurality of payloads in a single file in a datastore, generates metadata associated with the single file, and stores the generated metadata in a database comprising metadata for a plurality of single files. When the computing system receives a request for a pageview of a website, the computing system accesses the database to determine a plurality of payloads within one or more single files comprising payloads for the pageview of the website. The computing system generates the pageview by assembling the plurality of payloads for the pageview of the website.

Abstract: Real-time alerting system comprises a processor that receives from client devices user activity data associated with interactions by users with a website displayed on client devices. Website comprises webpages displayed during sessions. Processor identifies based on the user activity data, user experience indicators and identifies based on the user experience indicators an error on the website. Processor generates, based on the user experience indicators or the error on the website, an insight associated with the website. Processor causes a real-time alert to be displayed on display device. Real-time alert comprises the error or the insight and a selectable item to cause a visualization of interactions by one of the users with the website during one of the sessions associated with the error or the insight to be displayed. Visualization of interactions is generated based on the user activity data. Other embodiments are disclosed herein.

Abstract: A system is configured to retrieve historical raw transaction data, wherein each transaction is one of a target or non-target transaction. The target transactions are related to a target transaction event. A target transaction identifier is appended to each target transaction. The raw transaction data is stored to a first data table. A first neural network is trained using the first data table to generate a training data classification model. The training data classification model is applied to the first data table. A first similarity score distribution associated with the target transactions and a second similarity score distribution associated with the non-target transactions is determined. A plurality of non-target transactions whose combined similarity score distribution matches the target transactions is selected. The target transactions and the selected plurality of non-target transactions are stored to a second data table and a second neural network is trained using the second data table.

Abstract: Methods and systems provide for deal forecasting within a communication platform. In one embodiment, the system processes a communication session to provide analytics data for the session; receives internal data associated with a user of a communication platform pertaining to a deal, the internal data including internal analytics data for the deal derived from the communication session and one or more additional communication sessions; receives, from a CRM platform, updated CRM data pertaining to the deal; ingests the internal data and the updated CRM data into a standardized data repository; determines, via a model trained on the standardized internal data and updated CRM data, an outcome prediction for the deal; and provides, to one or more client devices, access to a presentation of the outcome prediction for the deal.

Abstract: The service optimization system performs simulation using a human model modeling service utilization behavior of a customer to predict a demand for a service from real data including at least one of behavior, behavior history, and behavior schedule of the customer related to the service. Also, the service optimization system performs simulation using a service model modeling a relationship between a service parameter determining content of the service, a demand for the service, and a level of the service to determine a setting value of the service parameter for maintaining the level of the service based on the predicted demand. Then, the service optimization system acquires the real data after the service is provided using the determined setting value of the service parameter to feed back the acquired real data to an input of the simulation using the human model.

Abstract: A system and computer-implemented method for optimising, by a quantum computer, an allocation of opportunities to recipients comprising: determining a plurality of opportunities to be allocated; determining a plurality of recipients to be allocated at least one of the plurality of opportunities; determining a respective acceptance likelihood of each of the plurality of recipients accepting each of the plurality of opportunities; determining a first constraint associated with a cost acceptance of each of the plurality of opportunities by the plurality of recipients; and determining an optimised allocation of the opportunities to the recipients based on the respective likelihoods and the first constraint, in the quantum computer.

Abstract: A computing system is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of a plurality of first users. The predictive model is configured to generate predicted survey data with respect to a second user by correlating a personal data set of the second user to the personal data set of at least one of the first users. The predicted survey data includes data regarding the predicted responses of the second user to a survey from which the survey data of each first user is derived, as well as one or more assessment scores calculated from the survey. The computing system is configured to take an action with respect to a user device of the second user in reaction to the generating of the predicted survey data regarding the second user.

Abstract: A computing system is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of a plurality of first users. The predictive model is configured to predict a first predicted assessment score at a first instance and a second predicted assessment score at a second instance with respect to a second user. The computing system determines whether the first predicted assessment score is different from the second predicted assessment score, and whether a first data entry of the personal data set of the second user changed between the first instance and the second instance. The computing system takes or recommends an action corresponding to a reversal in the change in the first data entry in order to alter the predicted assessment score of the second user.

Abstract: A computing system is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of a plurality of first users. The predictive model is configured to generate a predicted assessment score with respect to a second user by correlating a personal data set of the second user to the personal data set of at least one of the first users, with the generating of the predicted assessment score occurring automatically when a data entry of the personal data set of the second user is determined to have changed by the computing system. The computing system is configured to report the automatically generated predicted assessment score to the second user via a user device of the second user.

Abstract: The segment analysis system analyzes survey data to determine the influence each custom question/response combination (segment) has on a given aggregate scored survey metric for a given date/date range. The system removes from consideration all surveys that do not include a scored survey metric and date that matche the aggregate scored survey metric and given date/date range. The system further removes from consideration all surveys not pertaining received user-defined filtering. Once the system has eliminated all extraneous surveys from consideration, the system segments each question/response combinations across the pool of surveys to generate an influence score for each question/response combination. The system identifies which segment has the greatest positive and negative influence on the aggregate scored survey metric for the given date/date range. The system generates reports for the segment analysis and stores all segment analyses for further comparative analysis.

Abstract: An exemplary embodiment of the present invention provides an economic development system, which enables individuals within a community to efficiently identify and express their interests in one or more economic propositions. The economic development system comprises an application which allows users to uniquely interface with the one or more economic propositions. Users of the economic development system are able to efficiently identify and express support or disapprove for one or more economic propositions. A plurality of engagement mechanisms is provided by the economic development system to assist users in democratizing their interests. The economic development system also allows for crowdfunding of economic propositions and further provides valuable statistical data which can be utilized by developers, business owners, and local municipalities to implement one or more economic propositions.

Abstract: The present disclosure is directed to determining shopper-location pairs. In particular, the methods and systems of the present disclosure may identify a set of available shoppers associated with an online shopping concierge platform and located in a geographic area; identify a set of available warehouse locations associated with the online shopping concierge platform and located in the geographic area; and determine, based at least in part on the set of available shoppers, the set of available warehouse locations, and one or more machine learning (ML) models, a set of shopper-location pairs optimized based at least in part on time required by the set of available shoppers to travel from their respective current locations to one or more of the set of available warehouse locations.

Abstract: A server includes a determination unit that determines a state of congestion at an EVSE unit by a plurality of electrified vehicles responding to a request for execution of electric power control, and a setting unit that sets an incentive for each of the electrified vehicles to perform the electric power control at another EVSE unit when the determination unit determines that congestion is occurring at the EVSE unit.

Abstract: There is provided a management system including a first calculation unit, a second calculation unit, a storage unit, and a credit management unit. The first calculation unit calculates an increase amount of credit based on the purchase mass and the parameter representing the degree of reduction in environmental load in accordance with the purchase of plastic materials. The second calculation unit calculates a decrease amount of credit in accordance with either the transfer or production of the product. The storage unit stores an initial balance. The credit management unit updates a credit balance based on the initial balance, the increase amount, and the decrease amount.

Abstract: Techniques for providing redemptions via webpage unique asset tokens (UATs). A method incudes obtaining authenticity data from a user device when the user device has navigated to a webpage uniquely associated with a unique asset token (UAT), wherein the webpage is encoded into portions of code including code for providing the authenticity data; accessing a database with respect to the authenticity data in order to retrieve a redemption status of a premium, the database storing UAT nodes and premium nodes, wherein a first UAT node corresponds to the UAT and is connected to a first premium node, the first premium node representing the premium to be redeemed, wherein the portions of the code of the webpage are stored among the nodes; verifying eligibility of the premium based on the redemption status of the first premium node; and redeeming the premium when the eligibility of the premium has been verified.

Abstract: An imparting unit determines whether to issue a coupon or calculates a point on the basis of a staying time in the limited area, the coupon and the point being exchangeable with an article provided in the limited area by a user who is a soon-to-be passenger to board a plane. The limited area indicates an area in which a soon-to-be passenger stays until he or she boards a plane after a security check. In addition, the staying time in the limited area indicates an elapsed time from entry to the limited area to a predetermined imparted timing. An output unit outputs, on a mobile terminal of the user, information notifying of an issuance of a coupon when the imparting unit determines to issue the coupon, or information about the point calculated by the imparting unit.

Abstract: Methods and systems for managing loyalty programs using a decentralized blockchain are provided. Transactions between users and a merchant are monitored via an application programming interface (API) of a service provider. Based on the monitoring, it may be determined that at least one of the users has satisfied reward criteria for a loyalty program associated with the merchant. The loyalty program includes a plurality of tokens to be distributed to users who satisfy the reward criteria configured by the merchant via a merchant interface. At least one token from among the plurality of tokens may be selected for the user, based on at least one smart contract associated with the merchant. The smart contract is stored on the blockchain in association with a unique identifier for the merchant. A transaction is broadcasted to the decentralized blockchain for transferring the at least one token to a digital wallet of the user.

Abstract: An incentive providing system capable of letting a user behave in such a way that his/her stress level is lowered and thus reducing his/her stress is provided. The incentive providing system according to the present disclosure executes: processing for acquiring a stress level indicating a degree of stress of a user; and providing an incentive for a user in a case in which the stress level of the user is lower than a predetermined standard.

Abstract: An information controlling apparatus includes: a first registering unit configured to register registration information linking a predetermined user's biometric information and personal information; an acquiring unit configured to acquire the biometric information of the user; a biometric authentication controlling unit configured to control biometric authentication of the user; a second registering unit configured to register action information pertaining to the entry into or exit from a first facility or purchase information pertaining to the purchased product or service at the first facility linked to the registration information of the user whose biometric authentication has succeeded; a determining unit configured to determine, based on the registration information, a service suitable for the user and available at a second facility; and a processing unit configured to perform a process pertaining to providing of the service.

Abstract: An automated teller machine (ATM) includes a network interface, an input/output device configured to exchange data with a customer, and a processing circuit comprising a processor and memory.

Abstract: A server manages power adjustment resources electrically connected to a power network. The power adjustment resources include power equipment installed in a facility and configured to supply power from a vehicle to the power network and charge power from the power network to the vehicle. When reservation information for using the facility is received from a user, the server predicts a power supply-demand balance in the power network on a reserved date and time of use of the facility. When a DR for adjusting the power supply-demand balance is predicted to be performed on the reserved date and time of use, the server prepares a use plan for the facility so as to include the vehicle participating in the DR using the power equipment. The server gives an incentive to the user when the user accepts the use plan.