Patents by Inventor Jitendra Hairiya

Jitendra Hairiya 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).

  • Computer modeling to analyze electrical usage in an electrical grid for facilitating management of electrical transmission
    Patent number: 11689020
    Abstract: A model is generating for predicting energy workloads to adjust electrical energy supply to meet varying short-term energy demands at a microcosm level. A model is developed, using a computer, to facilitate predicting energy workloads for adjusting energy supplies to meet an energy demand. The model includes receiving, at the computer, input parameters of dynamic values of workloads as historical data, and generating a predictive model by analyzing the input parameters. The model further includes predicting short-term energy demands based on the predictive model, the predicted short-term energy demands include identifying a predicted peak value. Also, the model includes initiating short term energy output in an electrical grid to a transformer level component in the electrical grid based on the predicted short term energy demands.
    Type: Grant
    Filed: May 19, 2021
    Date of Patent: June 27, 2023
    Assignee: International Business Machines Corporation
    Inventors: Harish Bharti, Rajesh Kumar Saxena, Jitendra Hairiya, Sandeep Sukhija
  • COMPUTER MODELING TO ANALYZE ELECTRICAL USAGE IN AN ELECTRICAL GRID FOR FACILITATING MANAGEMENT OF ELECTRICAL TRANSMISSION
    Publication number: 20220376505
    Abstract: A model is generating for predicting energy workloads to adjust electrical energy supply to meet varying short-term energy demands at a microcosm level. A model is developed, using a computer, to facilitate predicting energy workloads for adjusting energy supplies to meet an energy demand. The model includes receiving, at the computer, input parameters of dynamic values of workloads as historical data, and generating a predictive model by analyzing the input parameters. The model further includes predicting short-term energy demands based on the predictive model, the predicted short-term energy demands include identifying a predicted peak value. Also, the model includes initiating short term energy output in an electrical grid to a transformer level component in the electrical grid based on the predicted short term energy demands.
    Type: Application
    Filed: May 19, 2021
    Publication date: November 24, 2022
    Inventors: Harish Bharti, Rajesh Kumar Saxena, Jitendra Hairiya, Sandeep Sukhija