Patents by Inventor Marissa Hummon
Marissa Hummon 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).
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Publication number: 20240178667Abstract: Anomaly detection, classification, and prediction is provided. A system can include one or more processors coupled with memory. The system can identify voltage waveform data corresponding to electricity distributed over a utility grid and measured by a metering device. The system can detect, based on a comparison with baseline voltage waveform data, an anomaly in at least a portion of the voltage waveform data. The system can generate spectrogram data for the at least the portion of the voltage waveform data comprising the anomaly. The system can determine, via a model trained with machine learning, a type of the anomaly based on the spectrogram data. The system can provide an indication of the type of the anomaly to cause an action to be performed on the utility grid responsive to determination of the type of anomaly.Type: ApplicationFiled: June 8, 2023Publication date: May 30, 2024Applicant: Utilidata, Inc.Inventors: Daria Pankova, Zebediah Engberg, Taylor Spalt, Marissa Hummon
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Publication number: 20230400823Abstract: A facility providing systems and methods for managing and optimizing energy consumption and/or production is provided. The facility provides techniques for optimizing energy-consuming and energy-producing systems to meet specified demands or goals in accordance with various constraints. The facility relies on models to generate an optimization for an energy system. In order to use generic models to simulate and optimize energy consumption for an energy system, the generic models are calibrated to properly represent or approximate conditions of the energy system during the optimization period. After the appropriate models have been calibrated for a given situation using one or more modeling parameter sets, the facility can simulate inputs and responses for the corresponding system. The facility uses the generated simulations to generate a plan or control schedule to be implemented by the energy system during the optimization period.Type: ApplicationFiled: June 14, 2023Publication date: December 14, 2023Inventors: Marissa Hummon, Patrick Sullivan, Brett Feldman
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Publication number: 20230299578Abstract: Systems and methods comprising a metering device located on an electricity distribution grid, the metering device comprising one or more processors and memory. The metering device can detect a drop in characteristic of electricity below a threshold indicating a fault on the electricity distribution grid. The metering device can generate, responsive to the drop in the characteristic of electricity below the threshold, a time series of a rate of change of the characteristic of electricity for a predetermined number of cycles subsequent to the detection of the drop. The metering device can determine, based on a comparison of the time series of the rate of change with a predetermined pattern, a location of the metering device on the electricity distribution grid relative to a location of the fault on the electricity distribution grid.Type: ApplicationFiled: April 21, 2023Publication date: September 21, 2023Applicant: Utilidata, Inc.Inventors: Taylor Spalt, Ning Li, Marissa Hummon
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Publication number: 20230261465Abstract: Systems and methods comprising a metering device located on an electricity distribution grid, the metering device comprising one or more processors and memory. The metering device can detect a drop in characteristic of electricity below a threshold indicating a fault on the electricity distribution grid. The metering device can generate, responsive to the drop in the characteristic of electricity below the threshold, a time series of a rate of change of the characteristic of electricity for a predetermined number of cycles subsequent to the detection of the drop. The metering device can determine, based on a comparison of the time series of the rate of change with a predetermined pattern, a location of the metering device on the electricity distribution grid relative to a location of the fault on the electricity distribution grid.Type: ApplicationFiled: April 27, 2023Publication date: August 17, 2023Applicant: Utilidata, Inc.Inventors: Taylor Spalt, Ning Li, Marissa Hummon
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Patent number: 11709470Abstract: Systems and methods are directed controlling components of a utility grid. The system can receive signals. The system can determine one or more statistical metrics based on the signals. The system can generate an input matrix. The system can input the input matrix into a machine learning model. The system can predict, based on the input matrix and via the machine learning model, the value for the signal of the utility grid at a time period for which the value is not provided in the input matrix. The system can provide a command to control a component of the utility grid responsive to the value for the signal of the utility grid predicted by the machine learning model.Type: GrantFiled: August 13, 2021Date of Patent: July 25, 2023Assignee: Utilidata, Inc.Inventors: Taylor Spalt, Ning Li, Marissa Hummon, Lobsang Lama
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Patent number: 11709465Abstract: A facility providing systems and methods for managing and optimizing energy consumption and/or production is provided. The facility provides techniques for optimizing energy-consuming and energy-producing systems to meet specified demands or goals in accordance with various constraints. The facility relies on models to generate an optimization for an energy system. In order to use generic models to simulate and optimize energy consumption for an energy system, the generic models are calibrated to properly represent or approximate conditions of the energy system during the optimization period. After the appropriate models have been calibrated for a given situation using one or more modeling parameter sets, the facility can simulate inputs and responses for the corresponding system. The facility uses the generated simulations to generate a plan or control schedule to be implemented by the energy system during the optimization period.Type: GrantFiled: December 8, 2020Date of Patent: July 25, 2023Assignee: Tendril OE, LLCInventors: Marissa Hummon, Patrick Sullivan, Brett Feldman
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Publication number: 20230187934Abstract: Systems and methods are directed to controlling components of a utility grid. The system can receive data samples including signals detected at one or more portions of a utility grid. The system can construct a matrix having a first dimension and a second dimension. The system can train a machine learning model based on the matrix to predict values for signals of the utility grid not provided in the matrix. The system can receive bounds for one or more input variables, constraints on one or more output variables, and a performance objective for the utility grid. The system can determine, based on the machine learning model and via an optimization technique, an adjustment to a component of the utility grid that satisfies the performance objective. The system can provide the adjustment to the component of the utility grid to satisfy the performance obj ective.Type: ApplicationFiled: February 2, 2023Publication date: June 15, 2023Applicant: Utilidata, Inc.Inventors: Taylor Spalt, Ning Li, Marissa Hummon, Brandon Thayer
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Patent number: 11641107Abstract: Systems and methods comprising a metering device located on an electricity distribution grid, the metering device comprising one or more processors and memory. The metering device can detect a drop in characteristic of electricity below a threshold indicating a fault on the electricity distribution grid. The metering device can generate, responsive to the drop in the characteristic of electricity below the threshold, a time series of a rate of change of the characteristic of electricity for a predetermined number of cycles subsequent to the detection of the drop. The metering device can determine, based on a comparison of the time series of the rate of change with a predetermined pattern, a location of the metering device on the electricity distribution grid relative to a location of the fault on the electricity distribution grid.Type: GrantFiled: June 14, 2022Date of Patent: May 2, 2023Assignee: UTILIDATA, INC.Inventors: Taylor Spalt, Ning Li, Marissa Hummon
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Patent number: 11575263Abstract: Systems and methods are directed to controlling components of a utility grid. The system can receive data samples including signals detected at one or more portions of a utility grid. The system can construct a matrix having a first dimension and a second dimension. The system can train a machine learning model based on the matrix to predict values for signals of the utility grid not provided in the matrix. The system can receive bounds for one or more input variables, constraints on one or more output variables, and a performance objective for the utility grid. The system can determine, based on the machine learning model and via an optimization technique, an adjustment to a component of the utility grid that satisfies the performance objective. The system can provide the adjustment to the component of the utility grid to satisfy the performance objective.Type: GrantFiled: March 12, 2021Date of Patent: February 7, 2023Assignee: Utilidata, Inc.Inventors: Taylor Spalt, Ning Li, Marissa Hummon, Brandon Thayer
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Publication number: 20220399718Abstract: Systems and methods comprising a metering device located on an electricity distribution grid, the metering device comprising one or more processors and memory. The metering device can detect a drop in characteristic of electricity below a threshold indicating a fault on the electricity distribution grid. The metering device can generate, responsive to the drop in the characteristic of electricity below the threshold, a time series of a rate of change of the characteristic of electricity for a predetermined number of cycles subsequent to the detection of the drop. The metering device can determine, based on a comparison of the time series of the rate of change with a predetermined pattern, a location of the metering device on the electricity distribution grid relative to a location of the fault on the electricity distribution grid.Type: ApplicationFiled: June 14, 2022Publication date: December 15, 2022Applicant: Utilidata, Inc.Inventors: Taylor Spalt, Ning Li, Marissa Hummon
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Publication number: 20220294217Abstract: Systems and methods are directed to controlling components of a utility grid. The system can receive data samples including signals detected at one or more portions of a utility grid. The system can construct a matrix having a first dimension and a second dimension. The system can train a machine learning model based on the matrix to predict values for signals of the utility grid not provided in the matrix. The system can receive bounds for one or more input variables, constraints on one or more output variables, and a performance objective for the utility grid. The system can determine, based on the machine learning model and via an optimization technique, an adjustment to a component of the utility grid that satisfies the performance objective. The system can provide the adjustment to the component of the utility grid to satisfy the performance objective.Type: ApplicationFiled: March 12, 2021Publication date: September 15, 2022Applicant: Utilidata, Inc.Inventors: Taylor Spalt, Ning Li, Marissa Hummon, Brandon Thayer
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Publication number: 20210373518Abstract: Systems and methods are directed controlling components of a utility grid. The system can receive signals. The system can determine one or more statistical metrics based on the signals. The system can generate an input matrix. The system can input the input matrix into a machine learning model. The system can predict, based on the input matrix and via the machine learning model, the value for the signal of the utility grid at a time period for which the value is not provided in the input matrix. The system can provide a command to control a component of the utility grid responsive to the value for the signal of the utility grid predicted by the machine learning model.Type: ApplicationFiled: August 13, 2021Publication date: December 2, 2021Applicant: Utilidata, Inc.Inventors: Taylor Spalt, Ning Li, Marissa Hummon, Lobsang Lama
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Publication number: 20210294283Abstract: A facility providing systems and methods for managing and optimizing energy consumption and/or production is provided. The facility provides techniques for optimizing energy-consuming and energy-producing systems to meet specified demands or goals in accordance with various constraints. The facility relies on models to generate an optimization for an energy system. In order to use generic models to simulate and optimize energy consumption for an energy system, the generic models are calibrated to properly represent or approximate conditions of the energy system during the optimization period. After the appropriate models have been calibrated for a given situation using one or more modeling parameter sets, the facility can simulate inputs and responses for the corresponding system. The facility uses the generated simulations to generate a plan or control schedule to be implemented by the energy system during the optimization period.Type: ApplicationFiled: December 8, 2020Publication date: September 23, 2021Inventors: Marissa Hummon, Patrick Sullivan, Brett Feldman
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Patent number: 11099537Abstract: Systems and methods are directed controlling components of a utility grid. The system can receive signals. The system can determine one or more statistical metrics based on the signals. The system can generate an input matrix. The system can input the input matrix into a machine learning model. The system can predict, based on the input matrix and via the machine learning model, the value for the signal of the utility grid at a time period for which the value is not provided in the input matrix. The system can provide a command to control a component of the utility grid responsive to the value for the signal of the utility grid predicted by the machine learning model.Type: GrantFiled: July 30, 2019Date of Patent: August 24, 2021Assignee: Utilidata, Inc.Inventors: Taylor Spalt, Ning Li, Marissa Hummon, Lobsang Lama
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Publication number: 20200409323Abstract: Systems and methods are directed controlling components of a utility grid. The system can receive signals. The system can determine one or more statistical metrics based on the signals. The system can generate an input matrix. The system can input the input matrix into a machine learning model. The system can predict, based on the input matrix and via the machine learning model, the value for the signal of the utility grid at a time period for which the value is not provided in the input matrix. The system can provide a command to control a component of the utility grid responsive to the value for the signal of the utility grid predicted by the machine learning model.Type: ApplicationFiled: July 30, 2019Publication date: December 31, 2020Applicant: Utilidata, Inc.Inventors: Taylor Spalt, Ning Li, Marissa Hummon, Lobsang Lama
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Patent number: 10866568Abstract: A facility providing systems and methods for managing and optimizing energy consumption and/or production is provided. The facility provides techniques for optimizing energy-consuming and energy-producing systems to meet specified demands or goals in accordance with various constraints. The facility relies on models to generate an optimization for an energy system. In order to use generic models to simulate and optimize energy consumption for an energy system, the generic models are calibrated to properly represent or approximate conditions of the energy system during the optimization period. After the appropriate models have been calibrated for a given situation using one or more modeling parameter sets, the facility can simulate inputs and responses for the corresponding system. The facility uses the generated simulations to generate a plan or control schedule to be implemented by the energy system during the optimization period.Type: GrantFiled: March 31, 2017Date of Patent: December 15, 2020Assignee: Tendril OE, LLCInventors: Marissa Hummon, Patrick Sullivan, Brett Feldman
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Publication number: 20170288401Abstract: A facility providing systems and methods for managing and optimizing energy consumption and/or production is provided. The facility provides techniques for optimizing energy-consuming and energy-producing systems to meet specified demands or goals in accordance with various constraints. The facility relies on models to generate an optimization for an energy system. In order to use generic models to simulate and optimize energy consumption for an energy system, the generic models are calibrated to properly represent or approximate conditions of the energy system during the optimization period. After the appropriate models have been calibrated for a given situation using one or more modeling parameter sets, the facility can simulate inputs and responses for the corresponding system. The facility uses the generated simulations to generate a plan or control schedule to be implemented by the energy system during the optimization period.Type: ApplicationFiled: March 31, 2017Publication date: October 5, 2017Inventors: Marissa Hummon, Chris Black, Jake Meier, Patrick Sullivan, Brett Feldman