Louis Poirier

Title: Louis Poirier: Innovator in Machine Learning Applications

Introduction

Louis Poirier is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of machine learning, particularly in identifying non-technical loss in energy usage. With a total of 3 patents, Poirier's work showcases his expertise and innovative thinking.

Latest Patents

Poirier's latest patents focus on systems and methods for utilizing machine learning to identify non-technical loss. Various embodiments of his disclosures include systems, methods, and non-transitory computer-readable media configured to select a set of signals relating to a plurality of energy usage conditions. The signal values for the set of signals can be determined, and machine learning can be applied to these signal values to identify energy usage conditions associated with non-technical loss.

Career Highlights

Throughout his career, Louis Poirier has worked with notable companies such as C3.ai, Inc. and C3 IoT, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas in the realm of machine learning and energy management.

Collaborations

Poirier has collaborated with esteemed professionals in the industry, including Thomas M. Siebel and Edward Y. Abbo. These collaborations have further enriched his work and contributed to the advancement of technology in energy usage analysis.

Conclusion

Louis Poirier stands out as a key figure in the application of machine learning to energy management. His patents and collaborations reflect his commitment to innovation and excellence in his field.