Bavaria, Germany

Omar Ivan Stern Gonzalez

This inventor holds 1 USPTO granted patent and 2 published patent applications and 1 EPO patent. Top assignee: General Electric Company. Active years: 2015.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Omar Ivan Stern Gonzalez. Retrieved from https://idiyas.com/inventor/omar-ivan-stern-gonzalez

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 77(Granted Patents)


Company Filing History:


Years Active: 2015

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1 patent (USPTO):Explore Patents

Title: Omar Ivan Stern Gonzalez: Innovator in Cloud Prediction Technologies

Introduction

Omar Ivan Stern Gonzalez is a notable inventor based in Bavaria, Germany. He has made significant contributions to the field of cloud prediction technologies. His innovative work focuses on enhancing the accuracy of solar irradiance predictions through advanced imaging techniques.

Latest Patents

Omar holds a patent for "Methods and systems for predicting cloud movement." This prediction system is designed to forecast solar irradiance based on cloud characteristics. It includes a sky imager equipped with a customized lens that captures substantially planar images of the sky. The system also features an image processor that processes these images and a computing system that detects cloud characteristics to predict solar irradiance.

Career Highlights

Omar is currently employed at General Electric Company, where he applies his expertise in developing cutting-edge technologies. His work has been instrumental in advancing the capabilities of solar energy forecasting.

Collaborations

Omar has collaborated with talented individuals such as Michael Schmidt and Christian Maria Anton Heller. These partnerships have fostered innovation and contributed to the success of his projects.

Conclusion

Omar Ivan Stern Gonzalez is a pioneering inventor whose work in cloud prediction technologies is shaping the future of solar energy forecasting. His contributions are vital for improving the accuracy of solar irradiance predictions, which can have a significant impact on renewable energy utilization.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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