Milpitas, CA, United States of America

Antonio Guillen Perez

This inventor holds 1 USPTO granted patent. Top assignee: Hewlett Packard Enterprise Development LP. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Antonio Guillen Perez. Retrieved from https://idiyas.com/inventor/antonio-guillen-perez

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Antonio Guillen Perez and Real-Time Carbon Footprint Reduction

Introduction

Antonio Guillen Perez is an inventor based in Milpitas, California, and is associated with Hewlett Packard Enterprise Development LP. His work includes a patent for using reinforcement learning to coordinate energy use, flexible load shifting, and battery operation in real time.

Latest Patents

The available information lists 1 patent for Perez: “Real-time carbon footprint reduction controller.” The invention describes a system in which reinforcement-learning agents receive subsystem-specific rewards from a digital twin and determine actions based on system states. Each agent gives greater weight to the reward associated with its own subsystem, while considering rewards from other subsystems. The system then applies the selected actions to move toward updated states, supporting coordinated energy optimization and carbon-footprint reduction.

Career Highlights

Perez’s listed patent focuses on applying reinforcement learning to real-time energy-management decisions. By addressing energy consumption, flexible load shifting, and battery operation together, the approach aims to coordinate decisions across multiple system subsystems.

Collaborations

The provided information names Soumyendu Sarkar and Avisek Naug as Perez’s coworkers. It does not specify their roles in the patent or the extent of their collaboration.

Conclusion

Antonio Guillen Perez’s listed invention applies reinforcement learning and digital-twin feedback to coordinate energy-management decisions, with the goal of improving system efficiency and reducing carbon emissions.

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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