Patents by Inventor Zhihao Gao

Zhihao Gao 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).

  • Publication number: 20240095764
    Abstract: The robust dispatch method for flexibility resources of large-scale data center microgrid clusters characterizes overall scheduling capacity of multiple flexibility resources in each data center microgrid by establishing a virtual battery model, constructs an equivalent model of scheduling capacity of data center microgrid cluster based on constraint space superposition methods of Minkowski summation, and fully exploits flexibility of output power regulation of distributed generator sets and energy storage of the data center microgrid cluster as well as demand response characteristics of loads, so as to obtain regulation domain of aggregate power of the data center microgrid cluster.
    Type: Application
    Filed: November 24, 2023
    Publication date: March 21, 2024
    Inventors: Xiang GAO, Yuxuan WANG, Yuduo ZHAO, Siyuan GUO, Yuexin SUN, Zhihao HUA
  • Publication number: 20230394037
    Abstract: Aspects described herein generally improve the quality, efficiency, and speed of data processing systems by generating staging data independently from the execution of control scripts which process the staging data. The staging data can be independently loaded, validated, and utilized across multiple control scripts, reducing redundancy in the loading of data and the overhead of executing separate data processing for each control script. The control scripts can be automatically validated, such as by verifying expected output data ranges. Additionally, the complexity of the control scripts can be reduced as the loading of data is not performed by the control scripts. The controls scripts can generate a variety of output data, such as an indication of impacted accounts, and provide notifications based on the output data. A variety of machine learning classifiers can be used to automatically generate the staging data and validate the staging data and/or output data.
    Type: Application
    Filed: August 14, 2023
    Publication date: December 7, 2023
    Inventors: Daniel Gunn, William Cartar, Zhihao Gao, Pulkit Gulati
  • Patent number: 11762840
    Abstract: A system, method, and computer-readable medium are disclosed that generate staging data independently from the execution of control scripts, which process the staging data, improving the quality, efficiency, and speed of data processing systems. The staging data can be independently loaded, validated, and utilized across multiple control scripts, reducing redundancy in the loading of data and the overhead of executing separate data processing for each control script. The control scripts can be automatically validated, such as by verifying expected output data ranges. Additionally, the complexity of the control scripts can be reduced as the loading of data is not performed by the control scripts. The controls scripts can generate a variety of output data, such as an indication of impacted accounts, and provide notifications based on the output data. A variety of machine learning classifiers may automatically generate the staging data and validate the staging data and/or output data.
    Type: Grant
    Filed: December 17, 2021
    Date of Patent: September 19, 2023
    Assignee: Capital One Services, LLC
    Inventors: Daniel Gunn, Zhihao Gao, Pulkit Gulati, William Cartar
  • Publication number: 20220107935
    Abstract: Aspects described herein generally improve the quality, efficiency, and speed of data processing systems by generating staging data independently from the execution of control scripts which process the staging data. The staging data can be independently loaded, validated, and utilized across multiple control scripts, reducing redundancy in the loading of data and the overhead of executing separate data processing for each control script. The control scripts can be automatically validated, such as by verifying expected output data ranges. Additionally, the complexity of the control scripts can be reduced as the loading of data is not performed by the control scripts. The controls scripts can generate a variety of output data, such as an indication of impacted accounts, and provide notifications based on the output data. A variety of machine learning classifiers can be used to automatically generate the staging data and validate the staging data and/or output data.
    Type: Application
    Filed: December 17, 2021
    Publication date: April 7, 2022
    Inventors: Daniel Gunn, Zhihao Gao, Pulkit Gulati, William Cartar
  • Patent number: 11216447
    Abstract: Aspects described herein generally improve the quality, efficiency, and speed of data processing systems by generating staging data independently from the execution of control scripts which process the staging data. The staging data can be independently loaded, validated, and utilized across multiple control scripts, reducing redundancy in the loading of data and the overhead of executing separate data processing for each control script. The control scripts can be automatically validated, such as by verifying expected output data ranges. Additionally, the complexity of the control scripts can be reduced as the loading of data is not performed by the control scripts. The controls scripts can generate a variety of output data, such as an indication of impacted accounts, and provide notifications based on the output data. A variety of machine learning classifiers can be used to automatically generate the staging data and validate the staging data and/or output data.
    Type: Grant
    Filed: February 4, 2020
    Date of Patent: January 4, 2022
    Assignee: Capital One Services, LLC
    Inventors: Daniel Gunn, Zhihao Gao, Pulkit Gulati, William Cartar
  • Publication number: 20210026833
    Abstract: Aspects described herein generally improve the quality, efficiency, and speed of data processing systems by generating staging data independently from the execution of control scripts which process the staging data. The staging data can be independently loaded, validated, and utilized across multiple control scripts, reducing redundancy in the loading of data and the overhead of executing separate data processing for each control script. The control scripts can be automatically validated, such as by verifying expected output data ranges. Additionally, the complexity of the control scripts can be reduced as the loading of data is not performed by the control scripts. The controls scripts can generate a variety of output data, such as an indication of impacted accounts, and provide notifications based on the output data. A variety of machine learning classifiers can be used to automatically generate the staging data and validate the staging data and/or output data.
    Type: Application
    Filed: February 4, 2020
    Publication date: January 28, 2021
    Inventors: Daniel Gunn, Zhihao Gao, Pulkit Gulati, William Cartar