Patents by Inventor Phillip Ellsworth Stahlfeld
Phillip Ellsworth Stahlfeld has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 12056798Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for filling gaps in electric grid models are enclosed. A method includes obtaining vector data representing first portions of paths of electric grid wires over a geographic region; converting the vector data to first raster image data that depicts an overhead view of the electric grid wires including a first set of line segments representing the first portions of the paths; processing the first raster image data using a gap filling model; obtaining, as output from the gap filling model, second raster image data including a second set of line segments corresponding to gaps included in the input raster image data and representing second portions of paths of the electric grid wires; and converting the second raster image data to vector data representing the first portions and the second portions of paths of the electric grid wires.Type: GrantFiled: April 12, 2022Date of Patent: August 6, 2024Assignee: X Development LLCInventors: Phillip Ellsworth Stahlfeld, Ananya Gupta
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Publication number: 20240249044Abstract: In one aspect, there is provided a method for training a machine learning model to process a graph that represents an electrical system to infer, from the graph, one or more unknown electrical values within the electrical system. In particular, the method includes: obtaining data defining multiple graphs, each graph representing a respective electrical system topology, obtaining, for each electrical system topology and from an electrical simulation system, simulation results indicating an electrical behavior of the respective electrical system topology, and training the machine learning model to predict electrical behaviors of electrical systems including by applying data defining each graph as input to the machine learning model to obtain respective output inferences and adjusting machine learning model parameters responsive to comparisons between the output inferences with simulation results of corresponding electrical system topologies.Type: ApplicationFiled: January 19, 2023Publication date: July 25, 2024Inventors: Ananya Gupta, Mike Miao He, Xinyue Li, Phillip Ellsworth Stahlfeld
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Patent number: 12046901Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a neural network to predict locations of feeders in an electrical power grid. One of the methods includes training a generative adversarial network comprising a generator and a discriminator; and generating, by the generator, from input images, output images with feeder metadata that represents predicted locations of feeder assets, including receiving by the generator a first input image and generating by the generator a corresponding first output image with first feeder data that identifies one or more feeder assets and their respective locations, wherein the one or more feeder assets had not been identified in any input to the generator.Type: GrantFiled: February 8, 2023Date of Patent: July 23, 2024Assignee: X Development LLCInventors: Phillip Ellsworth Stahlfeld, Bin Ni
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Patent number: 12045025Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a machine-learning model for predicting event tags. The system obtains asset data for an electric power distribution system in a geographic area. The asset data includes: for each of a plurality of electrical assets of the electrical power distribution system, data indicating one or more characteristics of the electrical asset. The system further obtains sensor data for the electric power distribution system. The sensor data includes measurement data from a plurality of electric sensors. The system generates, by processing the asset data and the sensor data, partition data that includes, for each of the plurality of electrical assets, an assignment that assigns the electrical asset to one of a set of feeder networks.Type: GrantFiled: March 7, 2023Date of Patent: July 23, 2024Assignee: X Development LLCInventors: Ananya Gupta, Phillip Ellsworth Stahlfeld
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Patent number: 11954907Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for electric grid modeling using surfel data are enclosed. An electric grid wire identification method includes: obtaining a set of surface elements (surfels), wherein each surfel of the set of surfels represents a portion of a surface of an object in a geographic region; selecting, based on one or more surfel attributes, one or more surfels of the set of surfels that each represent a portion of a surface of an electric grid wire; generating a representation of the electric grid wire from the selected one or more surfels; and adding the representation of the electric grid wire to a virtual model of the electric grid. Obtaining the set of surfels can include obtaining ranging data of the geographic region; and generating the set of surfels from the ranging data.Type: GrantFiled: June 24, 2021Date of Patent: April 9, 2024Assignee: X Development LLCInventors: Ananya Gupta, Phillip Ellsworth Stahlfeld
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Publication number: 20240110964Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for developing electrical grid mapping. One of the methods includes obtaining a computer model of an electric power grid; generating a network graph representation of the computer model, wherein nodes of the network graph represent grid assets of the computer model and edges of the network graph represent wires connecting the grid assets; generating an initial prediction of links between nodes in the network graph by adding at least one edge to the network graph to obtain an over-connected graph; applying the over-connected network graph as input to a machine learning model to obtain an annotated network graph, the machine learning model configured to identify edges as positive links and negative links, and apply annotations to the edges indicating whether each edge is a positive or negative link; and updating the model based on the annotated network graph.Type: ApplicationFiled: September 29, 2022Publication date: April 4, 2024Applicant: X Development LLCInventors: Ananya Gupta, Phillip Ellsworth Stahlfeld
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Publication number: 20240113555Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for configuring location-specific electrical load models while preserving privacy. A first machine learning model configured to predict electrical load curves of an electrical utility grid can be obtained from a server. Load values associated with a particular region of the electrical utility grid can be obtained. The load values can be applied as calibration input to the first machine learning model to produce first adjustment parameters for the first machine learning model. The first adjustment parameters can be provided to the server.Type: ApplicationFiled: October 4, 2022Publication date: April 4, 2024Inventors: Phillip Ellsworth Stahlfeld, Ananya Gupta, Xinyue Li, Lucas Michael Ackerknecht
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Patent number: 11901732Abstract: A system can obtain data that is sourced from an operator of a power grid and includes data items provided on a per-segment basis for feeders. The system can branch the data items into respective feeder groups and generate an ordered data structure based on an adjacency map for segments of a feeder group. The system can construct a feeder load profile based for a feeder on the ordered data structure. The feeder load profile depicts a load capacity for the feeder as a function of a distance from the substation. The system can then determine, based on the feeder load profile, that an available load capacity at the interconnection point is below a threshold required to support an electric vehicle (EV) charging station and identify upgrades based on variations in the feeder load profile to support the EV charging station.Type: GrantFiled: August 28, 2023Date of Patent: February 13, 2024Assignee: Coulomb TechnologiesInventors: Phillip Ellsworth Stahlfeld, Lucas Michael Ackerknecht
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Patent number: 11875561Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for electric grid asset detection are enclosed. An electric grid asset detection method includes: obtaining overhead imagery of a geographic region that includes electric grid wires; identifying the electric grid wires within the overhead imagery; and generating a polyline graph of the identified electric grid wires. The method includes replacing curves in polylines within the polyline graph with a series of fixed lines and endpoints; identifying, based on characteristics of the fixed lines and endpoints, a location of a utility pole that supports the electric grid wires; detecting an electric grid asset from street level imagery at the location of the utility pole; and generating a representation of the electric grid asset for use in a model of the electric grid.Type: GrantFiled: February 9, 2023Date of Patent: January 16, 2024Assignee: X Development LLCInventors: Ananya Gupta, Phillip Ellsworth Stahlfeld, Bangyan Chu
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Publication number: 20230411960Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for predicting electrical component failure. A first sensor measurement of a component of an electrical grid taken at a first time can be obtained. A second sensor measurement of the component taken at a second time can be identified, and the second time can be after the first time. An input, which can include the first sensor measurement and the second sensor measurement, can be processed using a machine learning model that is configured to generate, based on one or more changes in one or more characteristics of the component as depicted in the second sensor measurement compared to the first sensor measurement, a prediction representative of a likelihood that the component will experience a type of failure during a time interval. Data indicating the prediction can be provided for presentation by a display.Type: ApplicationFiled: June 8, 2023Publication date: December 21, 2023Inventors: Phillip Ellsworth Stahlfeld, Leo Francis Casey, Xinyue Li, Gaurav Desai, Ananya Gupta, Aviva Cheryl Shwaid, Laura Elizabeth Fedoruk
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Publication number: 20230326180Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting locations of utility assets. One of the methods includes receiving an input image of an area in a first geographical region; generating, from the input image and using a generative adversarial network, a corresponding reference image; and generating, by an object detection model and from the reference image, an output that identifies respective locations of one or more utility assets with reference to the input image.Type: ApplicationFiled: June 15, 2023Publication date: October 12, 2023Inventor: Phillip Ellsworth Stahlfeld
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Publication number: 20230280712Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for electric grid model error reduction are enclosed. A method includes obtaining graph data defining a graph including nodes and edges. Each node represents a component of an electric grid and is associated with respective node data representing electrical properties of the component of the electric grid, each edge represents a connection between components of the electric grid and is associated with respective edge data representing electrical properties of the connection, and the graph data includes one or more errors, each error including erroneous node data or erroneous edge data. The method includes processing the graph data using an error-correcting model trained to correct errors in the graph data; obtaining, as output from the error-correcting model, output graph data; and verifying accuracy of the output graph data by processing the output graph data using an electric grid simulator.Type: ApplicationFiled: March 7, 2022Publication date: September 7, 2023Inventors: Ananya Gupta, Phillip Ellsworth Stahlfeld
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Patent number: 11721088Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting locations of utility assets. One of the methods includes receiving an input image of an area in a first geographical region; generating, from the input image and using a generative adversarial network, a corresponding reference image; and generating, by an object detection model and from the reference image, an output that identifies respective locations of one or more utility assets with reference to the input image.Type: GrantFiled: August 26, 2021Date of Patent: August 8, 2023Assignee: X Development LLCInventor: Phillip Ellsworth Stahlfeld
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Publication number: 20230237644Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a classification neural network. The system generates, from a set of object-specific data, one or more meta-learning datasets for one or more respective initial training tasks. The system determines values for a set of meta parameters by performing meta-learning with a classification neural network on the one or more meta-learning datasets. The system obtains a set of labeled training examples for a characteristic-detection task. The system determines based at least on one of the values for the set of meta parameters and using the set of labeled training examples, target values for the network parameters for the classification neural network to perform the characteristic-detection task.Type: ApplicationFiled: January 26, 2023Publication date: July 27, 2023Inventors: Ananya Gupta, Phillip Ellsworth Stahlfeld, Kshitij Naresh Nikhal, Om Prakash Ravi, Aviva Cheryl Shwaid, Arthur Robert Pope, Xinyue Li
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Publication number: 20230186621Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for electric grid asset detection are enclosed. An electric grid asset detection method includes: obtaining overhead imagery of a geographic region that includes electric grid wires; identifying the electric grid wires within the overhead imagery; and generating a polyline graph of the identified electric grid wires. The method includes replacing curves in polylines within the polyline graph with a series of fixed lines and endpoints; identifying, based on characteristics of the fixed lines and endpoints, a location of a utility pole that supports the electric grid wires; detecting an electric grid asset from street level imagery at the location of the utility pole; and generating a representation of the electric grid asset for use in a model of the electric grid.Type: ApplicationFiled: February 9, 2023Publication date: June 15, 2023Inventors: Ananya Gupta, Phillip Ellsworth Stahlfeld, Bangyan Chu
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Publication number: 20230050693Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a machine-learning model for predicting event tags. The system obtains asset data for an electric power distribution system in a geographic area. The asset data includes: for each of a plurality of electrical assets of the electrical power distribution system, data indicating one or more characteristics of the electrical asset. The system further obtains sensor data for the electric power distribution system. The sensor data includes measurement data from a plurality of electric sensors. The system generates, by processing the asset data and the sensor data, partition data that includes, for each of the plurality of electrical assets, an assignment that assigns the electrical asset to one of a set of feeder networks.Type: ApplicationFiled: August 11, 2022Publication date: February 16, 2023Inventors: Ananya Gupta, Phillip Ellsworth Stahlfeld
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Patent number: 11580728Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for electric grid asset detection are enclosed. An electric grid asset detection method includes: obtaining overhead imagery of a geographic region that includes electric grid wires; identifying the electric grid wires within the overhead imagery; and generating a polyline graph of the identified electric grid wires. The method includes replacing curves in polylines within the polyline graph with a series of fixed lines and endpoints; identifying, based on characteristics of the fixed lines and endpoints, a location of a utility pole that supports the electric grid wires; detecting an electric grid asset from street level imagery at the location of the utility pole; and generating a representation of the electric grid asset for use in a model of the electric grid.Type: GrantFiled: June 24, 2021Date of Patent: February 14, 2023Assignee: X Development LLCInventors: Ananya Gupta, Phillip Ellsworth Stahlfeld, Bangyan Chu
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Publication number: 20220375219Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for predicting connections in electric grid models are disclosed. A method includes obtaining geospatial data representing a geographic area that includes an electrical distribution system; and generating, from the geospatial data, asset data that represents characteristics of electrical distribution system assets. The asset data includes: load data representing electrical loads of the electrical distribution system; and node data representing nodes of the electrical distribution system. The method includes processing the asset data using a connection model that is configured to predict electrical connections between assets of the electrical distribution system; and obtaining, from the connection model; output data indicating predicted electrical connections between assets of the electrical distribution system. The geospatial data includes at least one of overhead imagery or street level imagery of the geographic area.Type: ApplicationFiled: May 10, 2022Publication date: November 24, 2022Inventors: Ananya Gupta, Peter Evans, Leo Francis Casey, Phillip Ellsworth Stahlfeld
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Publication number: 20220357383Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for identifying phases of electrical grid wires are disclosed. A method includes identifying, within an image of a utility pole, a cross-arm supporting multiple wires; identifying a cardinal orientation of the cross-arm based on characteristics of the image; and determining, based on the cardinal orientation of the cross-arm, an electrical phase for each of the wires supported by the cross-arm. Identifying the cardinal orientation of the cross-arm includes: determining an orientation of the cross-arm relative to an axis of a field of view of the image; determining a cardinal orientation of the axis of the field of view; and estimating the cardinal orientation of the cross-arm based on an angular difference between the orientation of the cross-arm relative to the axis of a field of view and the cardinal orientation of the axis of the field of view.Type: ApplicationFiled: April 26, 2022Publication date: November 10, 2022Inventors: Phillip Ellsworth Stahlfeld, Ananya Gupta
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Patent number: 11495058Abstract: A user establishes an account with an account management system and downloads a service application on a user computing device associated with the user. The user enters a service provider location and signs into a service application. A service camera device captures a video feed of one or more users within a visual field of the service camera device and a service computing device compares movement data received from user computing devices at the service provider location against movement of detected objects in the video feed to identify one or more users in the video feed. After identifying the one or more users within the video feed of the service camera device, in response to a particular user initiating a service request at the service computing device, the service computing device identifies the particular user at the service computing device as being within a service area of the video feed.Type: GrantFiled: July 23, 2020Date of Patent: November 8, 2022Assignee: GOOGLE LLCInventor: Phillip Ellsworth Stahlfeld