Abstract: Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.

Abstract: A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.

Abstract: An example method comprises receiving historical sensor data from sensors of components of wind turbines, training a set of models to predict faults for each component using the historical sensor data, each model of a set having different observation time windows and lead time windows, evaluating each model of a set using standardized metrics, comparing evaluations of each model of a set to select a model with preferred lead time and accuracy, receive current sensor data from the sensors of the components, apply the selected model(s) to the current sensor data to generate a component failure prediction, compare the component failure prediction to a threshold, and generate an alert and report based on the comparison to the threshold.

Abstract: The present invention relates to a method and apparatus for controlling a wind turbine. The method includes: dividing a plurality of wind turbines into at least one group based on a similarity in status information of the plurality of wind turbines; in response to having detected a fault in a first wind turbine of the plurality of wind turbines, searching a group to which the first wind turbine belongs for a second wind turbine matching status information of the first wind turbine; and controlling the first wind turbine based on parameters from the second wind turbine.

Abstract: Systems, methods, and storage media for operating a wireless device are disclosed. Exemplary implementations may: select a consumer to provide feedback related to one or more transactions associated with the consumer; transmit, for display on a wireless device of the consumer, a survey comprising one or more questions related to the one or more transactions associated with the consumer; select an incentive offer from an incentive offer database; transmit, for display on the wireless device of the consumer, information related to the incentive offer; receive one or more responses to the survey; and fulfil the incentive offer.

Abstract: An example method utilizing different pipelines of a prediction system, comprises receiving event and alarm data from event logs, failure data, and asset data from Supervisory Control and Data Acquisition (SCADA) system(s), retrieving patterns of events, receiving historical sensor data from sensors of components of wind turbines, training a set of models to predict faults for each component using the patterns of events and historical sensor data, each model of a set having different observation time windows and lead time windows, evaluating each model of a set using standardized metrics, comparing evaluations of each model of a set to select a model with preferred lead time and accuracy, receiving current sensor data from the sensors of the components, applying the selected model(s) to the current sensor data to generate a component failure prediction, comparing the component failure prediction to a threshold, and generating an alert and report based on the comparison to the threshold.

Abstract: An example method comprises receiving an initial topology of an electrical, receiving a selection of a region of interest, determining one or more external equivalents of the electrical network that are external to the region of interest, determining one or more internal equivalents of the region of interest, calculating a sensitivity matrix based on electrical impedances of at least one of the one or more internal equivalents and based on an amount of power exchanged when in operation, determining a subset of the sensitivity matrix as indicating highly sensitive buses, receiving historical data regarding power flows, predicting power flow for each highly sensitive buses, comparing the predicted power flow to at least one predetermined threshold to determine possible network congestion, and generating a report regarding network congestion and locations of possible network congestion in the region of interest based on the comparison.

Abstract: An ingredient data system that ingests text and graphics of product labels associated with consumer products to check compliance with rules pertaining to what can be included on the product labels generally includes a memory having instructions stored thereon, and at least one processor to execute the instructions to transmit via a network a representation of a label view to a user interface on a client computing device that displays one or more of the base attributes associated with the first request, at least a portion of each of the images of one or more of the product labels of the consumer products designated under one or more of the base attributes associated with the first request, and at least a portion of details of noncompliance when one or more of the pieces of the constituent information are identified as impermissible according to the compliance information.

Abstract: A system and a method are disclosed for identifying features in a geographic area captured by a sensor. A server transmits computer readable instructions to a client device to cause the client device to display a first graphical element including data entry user interface elements for inputting one or more parameters. The server receives one or more data inputs corresponding to the one or more parameters. In response to receipt of the data inputs, the server transmits computer readable instructions to cause the client device to display a timeline graphical user interface element identifying detections of a feature in data captured for the geographic area. The data captured for the geographic area is selected based on the identified parameters and the timeline graphical user interface is segment into multiple display elements based on the identified parameters.

Abstract: A system accesses a plurality of ratio values for similar AOIs, each ratio value indicating a ratio between a count of device users at a similar AOI and a count of vehicles of the similar AOI. The similar AOIs are AOIs that have measurable characteristics within a range of similarity with those of the target AOI. The count of vehicles of the similar AOI is generated using aerial imagery received for the similar AOI. The count of device users at the similar AOI is extracted from third party data for the similar AOI. The system accesses a count of a number of reported device users at the target AOI, and generates an estimate of the vehicle count for the target AOI using the count of the number of reported device users at the target AOI and a combination of the plurality of ratio values for similar AOIs.

Abstract: Systems, methods, and storage media for operating a consumer feedback incentive system are disclosed. Exemplary implementations may: transmit one or more incentive offers to one or more computing devices associated with one or more consumers; receive real-time survey feedback data from the one or more computing devices associated with the one or more consumers; and provide a merchant analytics platform to a merchant associated with the one or more incentive offers, the merchant analytics platform including a user interface having a plurality of analytics display sections, the plurality of analytics display sections configured to display one or more representations associated with the real-time survey feedback.

Abstract: Systems, methods, and storage media for operating a consumer feedback incentive system are disclosed. Exemplary implementations may: transmit one or more incentive offers to one or more computing devices associated with one or more consumers; receive real-time survey feedback data from the one or more computing devices associated with the one or more consumers; provide a merchant analytics platform to a merchant associated with the one or more incentive offers, the merchant analytics platform comprising a user interface, wherein the user interface of the merchant analytics platform comprises a plurality of analytics display sections; and receive, via a user interface, one or more comparative representations organized according to selections made by the merchant.

Abstract: Systems, methods, and storage media for operating a wireless device are disclosed. Exemplary implementations may: select a consumer to provide feedback related to one or more transactions associated with the consumer; transmit, for display on a wireless device of the consumer, a survey comprising one or more questions related to the one or more transactions associated with the consumer; select an incentive offer from an incentive offer database; transmit, for display on the wireless device of the consumer, information related to the incentive offer; receive one or more responses to the survey; and fulfil the incentive offer.

Abstract: Mapping anonymous Internet entities to known accounts. In an embodiment, events, representing online activity and comprising IP addresses, are received from a plurality of sources. Subsets of the events are aggregated into mappings that associate the IP address, shared by the subset, with an account. Each mapping is associated with statistics regarding the events. A confidence value is calculated for each mapping based on the statistics, and a final subset of the mappings is selected based on the confidence values. Subsequently, when a request with an IP address is received, the final subset of mappings is searched for the requested IP address, and an indication of the account associated with the requested IP address is returned in response to the request.

Abstract: Systems, methods, and storage media for improving the efficacy of marketing incentives by leveraging improved response rates and quality of responses to consumer surveys. Exemplary implementations may, among other features: select a consumer to provide feedback related to one or more transactions associated with the consumer and a merchant; transmit an incentive offer to one or more computing devices associated with the consumer; receive real-time survey feedback data from the one or more computing devices associated with the consumers; and transmit a gift incentive offer to one or more computing devices associated with the consumer.

Abstract: An example method comprises receiving historical sensor data of a first time period, the historical data including sensor data of a renewable energy asset, extracting features, performing a unsupervised anomaly detection technique on the historical sensor data to generate first labels associated with the historical sensor data, performing at least one dimensionality reduction technique to generate second labels, combining the first labels and the second labels to generate combined labels, generating one or more models based on supervised machine learning and the combined labels, receiving current sensor data of a second time period, the current sensor data including sensor data of the renewable energy asset, extracting features, applying the one or more models to the extracted features of the current sensor data to create a prediction of a future fault in the renewable energy asset, and generating a report including the prediction of the future fault in the energy asset.

Abstract: Technical solutions are described for predicting linepack delays. An example method includes receiving temporal sensor measurements of a first fluid-delivery pipeline network and generating a causality graph of the first fluid-delivery pipeline network. The method also includes determining a topological network of the stations based on the causality graph, where the topological network identifies a temporal delay between a pair of stations. The method also includes generating a temporal delay prediction model based on the topological network and predicting the linepack delays of a second fluid-delivery pipeline network based on the temporal delay prediction model, where a compressor station of the second fluid-delivery pipeline network compresses fluid based on the predicted linepack delays to maintain a predetermined pressure.

Abstract: System and method for monitoring objects of interest including persons in an indoor or outdoor scene with high accuracy, strong privacy protection, high security, low volume data transmission and storage. The system includes: an embedded sensing device with multiple sensors and microprocessor(s) with built-in artificial intelligence as an end unit with parametric outputs, a controller that aggregate parametric outputs from multiple end units with local intelligence and configurable control outputs, and an optional gateway that aggregates multiple controllers output and connect with the network, cloud and/or human interface.

Abstract: A large-scale radio frequency signal information processing and analysis system that provides advanced signal analysis for telecommunication applications, including band capacity and geographical density determinations and detection, classification, identification, and geolocation of signals across a wide range of frequencies and across broad geographical areas. The system may utilize a range of novel algorithms for bin-wise processing, Rayleigh distribution analysis, telecommunication signal classification, receiver anomaly detection, transmitter density estimation, transmitter detection and location, geolocation analysis, telecommunication activity estimation, telecommunication utilization estimation, frequency utilization estimation, and data interpolation.

Abstract: A method, system, and computer program product to manage a network comprising a plurality of interconnected components are described. The method includes obtaining a set of all the components that are part of the network over time, and identifying one or more repeating patterns of components among the set of all the components as corresponding lower-level definitions to generate a hierarchical set of all the components. The method also includes obtaining time-varying information regarding topology and operational values within the network, and creating a representation of the network at a set of times based on the hierarchical set of all the components and the time-varying information.