Vaasa, Finland

Henry Niveri

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Abb Schweiz Ag. Active years: 2026.


 

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: Henry Niveri - Innovator in Power Grid Technology

Introduction

Henry Niveri is a notable inventor based in Vaasa, Finland. He has made significant contributions to the field of electric power grid technology. His innovative approach utilizes machine learning to enhance the detection of evolving faults within power grids.

Latest Patents

Henry Niveri holds a patent for a groundbreaking invention titled "Evolving faults in a power grid." This patent focuses on detecting evolving faults in an electric power grid by training a machine learning-based model. The model uses events with time information as input, generated by functions in intelligent electronic devices. These events indicate specific functions and their outputs. The training process involves analyzing a variety of event patterns extracted from historical event data. These patterns include events that occur in a specific order leading up to a disturbance event, which results in power supply interruptions. The trained predictor outputs predictions for the occurrence times of these disturbance events, aiding in the detection of evolving faults in the electric power grid.

Career Highlights

Henry Niveri is currently employed at Abb Schweiz AG, where he continues to develop innovative solutions for the electric power industry. His work focuses on integrating advanced technologies to improve the reliability and efficiency of power grids.

Collaborations

Henry collaborates with his coworker, Petri Hovila, to further enhance their projects and drive innovation within their field.

Conclusion

Henry Niveri's contributions to power grid technology through his patent and work at Abb Schweiz AG highlight his role as a key innovator in the industry. His efforts in utilizing machine learning for fault detection are paving the way for more reliable electric power systems.

Profile summary based on public USPTO records.
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