This inventor holds 1 USPTO granted patent. Top assignee: S&p Global Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Oscar Vasquez: Innovating Electrical Grid Forecasting
Introduction
Oscar Vasquez is an inventor based in Houston, Texas, whose patent work addresses forecasting electrical rate fluctuations and deviations in power substations. His invention applies machine learning and stochastic modeling to historical grid data.
Latest Patents
Vasquez is associated with 1 patent, titled “Data Forecast for Substations in Electrical Grids.” The computer-implemented method selects nodes and filters anomalous data from each node’s historical records to create refined datasets. It uses those datasets to train machine-learning models that forecast electrical rate deviations and fluctuations, and assigns each model a composite performance score. A stochastic model estimates anomalous electrical rate fluctuations, which are incorporated into forecasts for a specified period.
Career Highlights
Vasquez is associated with S&P Global Inc. His patent reflects an application of data processing and predictive modeling to electrical-grid analysis.
Collaborations
The provided information identifies Duncan Anderson and Nikita Sharma as Vasquez’s coworkers. Their specific roles in developing or supporting the patented method are not specified.
Conclusion
Oscar Vasquez’s patent combines refined historical data, machine learning, and stochastic modeling to forecast electrical rate behavior at grid substations.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile