Patents by Inventor JIELIAN GUO

JIELIAN GUO 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).

  • Patent number: 11605034
    Abstract: Methods, systems, and techniques for determining the confidence that predicted demand charge savings resulting from deploying an energy management system at a site will match actual cost savings. A processor obtains predicted demand charge savings resulting from deploying the energy management system at the site, and also obtains demand-related data describing at least two of load predictability, load shape, and battery capacity of the energy management system. The processor determines a confidence score representing the confidence that the predicted demand charge savings will result in view of the demand-related data, and displays the confidence score on a display for subsequent use by a user.
    Type: Grant
    Filed: October 16, 2020
    Date of Patent: March 14, 2023
    Assignee: ENERGY TOOLBASE SOFTWARE, INC.
    Inventors: Anton Biryukov, Prudhvi Tella, Jielian Guo
  • Publication number: 20220407310
    Abstract: There is described a method of reserving a capacity of one or more energy storage devices. The method includes forecasting, based on past electricity demand of a site, future electricity demand of the site over a future time period. The method further includes determining a forecasting error between the forecasted future electricity demand and an actual electricity demand of the site over the future time period. The method further includes adjusting, based on the forecasting error, a target state of charge (SOC) of one or more energy storage devices. The method further includes reserving, based on the adjusted target SOC, a capacity of the one or more energy storage devices.
    Type: Application
    Filed: April 26, 2019
    Publication date: December 22, 2022
    Inventors: Jielian Guo, Prudhvi Tella
  • Publication number: 20190228481
    Abstract: There is provided a method for managing electricity demand, the method comprising: obtaining past demand data of a site, the past demand data comprising past electricity usage data representing electricity usage at the site over a past time period extending from a past point in time to a current point in time; determining, based on the past demand data, projected electricity usage data of the site by inputting the past demand data to a trained machine learning model comprised in a set of one or more trained machine learning models, the projected electricity usage data representing projected electricity usage at the site over a future time period, and wherein the future time period does not comprise a period of time at least twenty-three hours from the current point in time; determining one or more peak demand periods when, during the future time period, the projected electricity usage at the site exceeds a demand threshold; and securing non-grid electricity for use by the site during the one or more peak dema
    Type: Application
    Filed: January 18, 2019
    Publication date: July 25, 2019
    Inventors: PRUDHVI TELLA, JIELIAN GUO, ENRICO LADENDORF, MATTHEW JOEL HICKS