ELECTRICAL GRID OPERATIONS USING ON FORECAST HORIZON PLANNING

    公开(公告)号:US20230402844A1

    公开(公告)日:2023-12-14

    申请号:US18332474

    申请日:2023-06-09

    CPC classification number: H02J3/003 G05B17/02 H02J3/004 H02J2203/20

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for operating sources of electricity in an electrical grid having a forecasting error rate are described. In some implementations, a method includes selecting a forecast horizon based on the forecasting error rate; performing an optimization process for dispatch planning of the electrical grid for the selected forecast horizon; automatically operating one or more power sources of the electrical grid in accordance with the dispatch planning for a first time increment; and performing an optimization process for dispatch planning for subsequent time increments within the selected horizon after the first time increment has elapsed.

    Multimodal photonic components
    44.
    发明授权

    公开(公告)号:US11835715B1

    公开(公告)日:2023-12-05

    申请号:US16720957

    申请日:2019-12-19

    CPC classification number: G02B27/0012 G06F30/23 G06F2111/10

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for designing a multimodal photonic component. In one aspect, a method includes defining a loss function within a simulation space including multiple voxels and encompassing features of the multimodal photonic component. The loss function corresponds to a target output mode profile for an input mode profile, where the target output mode profile includes a relationship between a set of operating conditions and one or more supported modes of the multimodal photonic component at a particular operative wavelength. The initial structure is defined for one or more features, where at least some of the voxels corresponding to features have a dimension smaller than a smallest operative wavelength of the multimodal photonic component, and values for structural parameters for the features are determined so that a loss according to the loss function is within a threshold loss.

    Alert generation algorithm for tracking devices

    公开(公告)号:US11830345B2

    公开(公告)日:2023-11-28

    申请号:US18164997

    申请日:2023-02-06

    Inventor: Grant Uy

    CPC classification number: G08B23/00 G06F16/9537 G06F16/9538

    Abstract: An alert system is configured to track conditions for a tracking system. The one or more processors of the alert system are configured to receive data in a payload related to characteristics of tracking devices of the tracking system. The one or more processors are then configured to determine a condition timeframe for each condition for a given alert based on the data in the payload. The given alert requires at least a first condition and a second condition of the plurality of conditions. The one or more processors are configured to perform a query for historical data for the first condition based on a timestamp of the second condition that is prior to the first condition, determine an alert timeframe for the given, alert based on the condition timeframes and the historical data, and store the given alert and the alert timeframe in a memory of the alert system.

    High-dispersion optical components and methods for making the same

    公开(公告)号:US11828934B1

    公开(公告)日:2023-11-28

    申请号:US16508175

    申请日:2019-07-10

    CPC classification number: G02B27/0012 G06F30/00 G06F2111/10

    Abstract: A computer-implemented method for designing a dispersive optical component includes: (i) defining a loss function within a simulation space composed of multiple voxels, the simulation space encompassing optical interfaces of the component, the loss function corresponding to a target dispersion profile for the component including a relationship between a scattering angle and a wavelength of an incident electromagnetic field for different operative wavelengths; (ii) defining an initial structure for the optical interfaces, at least some of the voxels corresponding to each optical interface having a dimension smaller than a smallest operative wavelength of the component; and (iii) determining, using a computer system, a structure for each optical interface using a finite-difference time domain solver to solve Maxwell's equations so that a loss determined according to the loss function is above a specified threshold.

    Autonomous modular breakwater system

    公开(公告)号:US11821158B2

    公开(公告)日:2023-11-21

    申请号:US17373283

    申请日:2021-07-12

    CPC classification number: E02B3/062

    Abstract: Methods, systems, and computer-readable media that implement an autonomous modular breakwater system. An example system includes a plurality of autonomous submersible structures, each configured to mechanically link to any other of the plurality of autonomous submersible structures to form a breakwater. The system includes a controller configured to perform operations including: determining a location for construction of a breakwater; determining an initial location of each of the plurality of autonomous submersible structures; selecting, based at least in part on the initial location of each of the plurality of autonomous submersible structures, a subset of the plurality of autonomous submersible structures for constructing the breakwater; and transmitting, to each of the selected autonomous submersible structures, instructions to transit from the respective initial location to the location for construction of the breakwater and to mechanically couple to at least one other autonomous submersible structure to form the breakwater.

    ASSOCIATING LAND NFTS WITH DIGITAL REPRESENTATIONS OF LAND PARCELS

    公开(公告)号:US20230368257A1

    公开(公告)日:2023-11-16

    申请号:US17743096

    申请日:2022-05-12

    CPC classification number: G06Q30/0601 G06N20/00 H04L9/3213 H04L9/50

    Abstract: Implementations set forth herein relate to utilizing S2 cell values to characterize arbitrary portions of land parcels and storing the S2 cell values in association with a non-fungible token (NFT) that is stored on a blockchain network, or other peer-to-peer (P2P) network. The S2 cell values can be generated by iteratively using bounding shapes that are selected to extend over at least a portion of a respective parcel of land, and each bounding shape can be represented by one or more single dimensional values. When a generated bounding shape extends outside of a boundary of a parcel of land, subcells of the bounding shape can be generated to define further bounding shapes. A land NFT for the list of cell values for the bounding shapes can be stored at a blockchain address for an authenticated owner of the parcel of land.

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