Patents by Inventor Mathieu F. SINN

Mathieu F. SINN 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).

  • REAL-TIME ESTIMATION OF CONTRIBUTIONS FROM CLASSES OF ENERGY GENERATORS IN RESIDUAL LOAD SIGNALS
    Publication number: 20230253798
    Abstract: Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.
    Type: Application
    Filed: March 30, 2023
    Publication date: August 10, 2023
    Applicant: Utopus Insights, Inc.
    Inventors: Bei Chen, Jean-Baptiste Remi Fiot, Vincent Petrus Anthonius Lonij, Mathieu F. Sinn
  • Real-time estimation of contributions from classes of energy generators in residual load signals
    Patent number: 11631978
    Abstract: Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.
    Type: Grant
    Filed: May 3, 2021
    Date of Patent: April 18, 2023
    Assignee: Utopus Insights, Inc.
    Inventors: Bei Chen, Jean-Baptiste Remi Fiot, Vincent Petrus Anthonius Lonij, Mathieu F. Sinn
  • REAL-TIME ESTIMATION OF CONTRIBUTIONS FROM CLASSES OF ENERGY GENERATORS IN RESIDUAL LOAD SIGNALS
    Publication number: 20210273458
    Abstract: Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.
    Type: Application
    Filed: May 3, 2021
    Publication date: September 2, 2021
    Applicant: Utopus Insights, Inc.
    Inventors: Bei CHEN, Jean-Baptiste Remi FIOT, Vincent Petrus Anthonius LONIJ, Mathieu F. SINN
  • Real-time estimation of contributions from classes of energy generators in residual load signals
    Patent number: 10998729
    Abstract: Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.
    Type: Grant
    Filed: April 9, 2019
    Date of Patent: May 4, 2021
    Assignee: Utopus Insights, Inc.
    Inventors: Bei Chen, Jean-Baptiste Remi Fiot, Vincent Petrus Anthonius Lonij, Mathieu F. Sinn
  • REAL-TIME ESTIMATION OF CONTRIBUTIONS FROM CLASSES OF ENERGY GENERATORS IN RESIDUAL LOAD SIGNALS
    Publication number: 20200076197
    Abstract: Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.
    Type: Application
    Filed: April 9, 2019
    Publication date: March 5, 2020
    Applicant: Utopus Insights, Inc.
    Inventors: Bei CHEN, Jean-Baptiste Remi FIOT, Vincent Petrus Anthonius LONIJ, Mathieu F. SINN
  • Real-time estimation of contributions from classes of energy generators in residual load signals
    Patent number: 10256633
    Abstract: Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.
    Type: Grant
    Filed: November 4, 2015
    Date of Patent: April 9, 2019
    Assignee: Utopus Insights, Inc
    Inventors: Bei Chen, Jean-Baptiste Remi Fiot, Vincent Petrus Anthonius Lonij, Mathieu F. Sinn
  • REAL-TIME ESTIMATION OF CONTRIBUTIONS FROM CLASSES OF ENERGY GENERATORS IN RESIDUAL LOAD SIGNALS
    Publication number: 20170126009
    Abstract: Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.
    Type: Application
    Filed: November 4, 2015
    Publication date: May 4, 2017
    Inventors: Bei CHEN, Jean-Baptiste Remi FIOT, Vincent Petrus Anthonius LONIJ, Mathieu F. SINN