Farid Kenarangi

Title: Farid Kenarangi and Machine-Learning-Based Power Prediction.

Introduction

Farid Kenarangi is an inventor associated with Sunnyvale, California, and Google Inc. His patent work concerns using machine-learning models to predict power measurements on a device.

Latest Patents

Kenarangi is credited with 1 patent: “Power Prediction Using a Machine Learning Model.” The invention describes methods, systems, and apparatus for predicting device power measurements with predictive models. A power sensor continually measures power consumption at multiple time points, while a power prediction module uses a sequence of measurements from previous time points and a trained model to estimate power consumption at a future time point.

Career Highlights

The available information connects Kenarangi’s invention to Google Inc. and highlights the application of machine learning to power management. The approach uses historical power measurements to generate predictions about future device consumption.

Collaborations

Kenarangi’s listed coworkers include Vinu Vijay Kumar and Neha Bajaj. Their inclusion identifies professional connections associated with his work, though the available details do not specify their roles in the patent.

Conclusion

Farid Kenarangi’s patent focuses on applying trained predictive models to device power measurements, illustrating an approach to power management based on historical data.