San Francisco, CA, United States of America

Charlotte Stone Helvestine

This inventor holds 1 USPTO granted patent. Top assignee: Carbon Lighthouse, Inc.. Active years: 2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Charlotte Stone Helvestine. Retrieved from https://idiyas.com/inventor/charlotte-stone-helvestine

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 13.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Charlotte Stone Helvestine: Building-Energy Modeling and Prediction

Introduction

Charlotte Stone Helvestine is an inventor associated with Carbon Lighthouse, Inc. Her patent work focuses on modeling and predicting energy consumption in buildings, with an emphasis on mechanical and electrical systems such as lighting and HVAC.

Latest Patents

Helvestine is named on 1 patent: “System, Method, and Computer Program for Modeling and Predicting Energy Consumption in a Building.” The invention describes building an energy-consumption model from models of system components, using measurable inputs and behavior models informed primarily by sensor and other measurement-device data. By combining these models with weather data, the system predicts non-plug-load energy use under current configurations. It can also compare alternative system configurations to identify potential energy-saving measures.

Career Highlights

Helvestine’s patent reflects an approach to building efficiency that uses measured data and predictive modeling to evaluate energy use and potential improvements. Her work is associated with Carbon Lighthouse, Inc.

Collaborations

Her listed coworkers include Raphael Chayim Rosen and Amy Watson Figueiredo.

Conclusion

Charlotte Stone Helvestine’s patented work applies data-driven modeling to predict building energy consumption and identify opportunities to improve efficiency.

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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