Loic Vallance

Title: Loic Vallance and End-to-End Learning for Energy Management

Introduction

Loic Vallance is an inventor based in San Diego, California. His patent work addresses forecasting and control in distributed energy resource management systems, where accurate predictions can help guide energy operations.

Latest Patents

Vallance is associated with 1 patent, titled “End-to-End Model Learning for Distributed Energy Resource Management Systems.” The invention describes selecting and training a forecasting model from multiple candidates using accuracy measures such as root mean squared error, mean absolute error, or mean squared error. It then uses the model’s forecasts in a simulation that applies optimization logic and constraints to represent distributed energy resource control behaviors. The resulting energy-cost outcome feeds back into the process, helping determine the weighting of accuracy measures and the selection of an updated forecasting model.

Career Highlights

Vallance is associated with PowerFlex Systems, Inc. His patent reflects work at the intersection of forecasting, simulation, optimization, and distributed energy resource management.

Collaborations

Rajat Sethi is identified as Vallance’s coworker. The available information does not specify their particular roles or contributions to the patent.

Conclusion

Loic Vallance’s patent presents a feedback-driven approach to improving forecasting model selection for distributed energy resource management, connecting prediction accuracy with simulated energy costs.