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Patent Agency Ranking
公开(公告)号：US20210141969A1
公开(公告)日：2021-05-13
申请号：US17091976
申请日：2020-11-06
Applicant: X Development LLC
Inventor： Phillip E. Stahlfeld , Amanda McNary , Peter Evans , Leo Francis Casey
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a representation of an electric power grid. One of the methods includes obtaining respective datasets, identifying one or more predictive models for each of the respective datasets that are each configured to processes a category of data to generate an output that specifies a partial representation of the electric power grid; and aggregating the respective outputs in accordance with a set of predetermined rules to generate a final representation of the electric power grid.
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公开(公告)号：US11611213B1
公开(公告)日：2023-03-21
申请号：US17450505
申请日：2021-10-11
Applicant: X Development LLC
Inventor： Phillip E. Stahlfeld , Bin Ni
Abstract: 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.
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公开(公告)号：US11152785B1
公开(公告)日：2021-10-19
申请号：US16573183
申请日：2019-09-17
Applicant: X Development LLC
Inventor： Phillip E. Stahlfeld , Bin Ni
Abstract: 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.
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4.发明授权公开(公告)号：US11126843B2
公开(公告)日：2021-09-21
申请号：US16666304
申请日：2019-10-28
Applicant: X Development LLC
Inventor： Phillip E. Stahlfeld
Abstract: 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.
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5.发明申请公开(公告)号：US20210124920A1
公开(公告)日：2021-04-29
申请号：US16666304
申请日：2019-10-28
Applicant: X Development LLC
Inventor： Phillip E. Stahlfeld
Abstract: 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.
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