Sze Mei Cat Wong

Title: Sze Mei Cat Wong and Innovations in Electrical Grid Technology.

Introduction

Sze Mei Cat Wong is an inventor based in Johns Creek, Georgia. Her patent work focuses on applying data analysis and machine learning to identify distributed energy resources and map electrical grid assets.

Latest Patents

Wong’s listed portfolio includes 2 patents, including the following inventions.

“Automatic Detection of Grid-Connected Distributed Energy Resources” describes methods for analyzing electrical load data over time and comparing detected signals with baseline load profiles. The comparison helps determine the likelihood that a distributed energy resource is operating at a location, enabling actions when that likelihood exceeds a threshold.

“Detecting Electrical Grid Assets” describes a machine-learning approach to mapping electrical grids. The method analyzes images taken from different perspectives to identify grid assets, then samples additional sublocations when the model positively identifies the same asset across images.

Career Highlights

Wong works at X Development LLC. Her patent work addresses practical challenges in understanding energy use and identifying infrastructure, using computational methods to support grid analysis.

Collaborations

Wong’s listed coworkers include Reuben Nahouraii and Om Prakash Ravi. Their shared professional context at X Development LLC connects their work to the company’s innovation efforts.

Conclusion

Sze Mei Cat Wong’s inventions apply data analysis and machine learning to two important areas of electrical-grid technology: detecting distributed energy resources and identifying grid assets.