Shu Wang

Title: Shu Wang and Water Distribution Network Control

Introduction

Shu Wang is an inventor based in Hamilton, CA, whose work includes applying hybrid reinforcement learning to water distribution network control. His listed patent focuses on coordinating pump operation with water demand, tank levels, and energy costs.

Latest Patents

Wang is associated with 1 patent: “Hybrid reinforcement learning (RL) to control a water distribution network.” The invention describes a method and system that use historical network states, residential water demand, tank levels, and energy tariffs to guide control decisions. A query-based model identifies control points, while a reinforcement learning agent uses prior states and rewards to select pump-speed setpoints. The system aims to maintain tank levels, reduce energy costs, and comply with limits on equipment toggling. It also selects time slots and generates hybrid setpoints for controlling the network.

Career Highlights

Wang is associated with Autodesk, Inc. His patent work applies reinforcement learning to the practical challenge of operating water infrastructure efficiently.

Collaborations

The provided information lists Yuan Zhou and Harsh Bakulchandra Patel as Wang’s coworkers. Their specific contributions to the patent are not stated.

Conclusion

Shu Wang’s listed invention brings reinforcement learning into water distribution control, with the goal of balancing reliable tank levels, energy efficiency, and pump operation.