Buckeye, AZ, United States of America

Steve Kelley

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: State Farm Mutual Automobile Insurance Company. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Steve Kelley. Retrieved from https://idiyas.com/inventor/steve-kelley-fbpf7ppi

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

Calculating rank
USPTO Granted Patents = 1 

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: Steve Kelley and Predictive Energy Modeling

Introduction

Steve Kelley is an inventor based in Buckeye, Arizona. His patent work addresses how machine learning can help assess a property’s energy use and identify suitable energy-efficiency programs.

Latest Patents

Kelley is associated with 1 patent: “System and Methods for Predictive Modeling of Energy Using Machine-Learning Models.” The invention describes a system that receives data about a property, analyzes it to create a property profile, and uses a machine-learning model to classify energy-use patterns or predict potential energy savings and inefficiencies. The model can then match the property with an energy-efficiency program, generate an energy assessment and cost analysis, and present the results through an interactive visualization.

Career Highlights

Kelley is associated with State Farm Mutual Automobile Insurance Company. His patent reflects an application of machine learning to property-level energy analysis and program recommendations.

Collaborations

The patent describes a process involving processors, transceivers, and sensors, along with data sources for energy-efficiency programs. The available information does not identify specific co-inventors or other collaborators.

Conclusion

Steve Kelley’s patent presents a data-driven approach to evaluating property energy use and connecting predicted savings opportunities with relevant efficiency programs.

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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