Wei-Yu Chiu

Title: Wei-Yu Chiu: Reinforcement Learning for Energy and Wireless Communications.

Introduction

Wei-Yu Chiu is an inventor based in Hsinchu, Taiwan. His patent work applies reinforcement learning to challenges in renewable-energy allocation and wireless communication. He is associated with National Tsing Hua University and has 3 patents.

Latest Patents

Chiu’s recent patent work includes “Method and Apparatus for Renewable Energy Allocation Based on Reinforcement Learning.” The invention describes how an energy aggregator can use historical power-generation data, market indexes, and information about an energy storage system to model renewable-energy uncertainty. A reinforcement learning model uses these inputs to determine prices for suppliers and demanders. The energy storage system then coordinates supply and demand based on their responses, while the model is updated using the resulting information.

Another recent patent is “Communication Time Allocation Method Using Reinforcement Learning for Wireless Powered Communication Network and Base Station.” It describes allocating communication time to network nodes to support estimated total throughput. The method obtains actual throughput during each time block and uses it, together with estimated throughput and existing weights, to update node weights for the next block.

Career Highlights

Chiu’s disclosed inventions demonstrate the use of reinforcement learning in two distinct technical settings. One addresses coordination in renewable-energy markets, while the other focuses on communication scheduling in wireless-powered networks.

Collaborations

Chiu is associated with National Tsing Hua University. His listed coworkers include Chan-Wei Hu and Sung-Yu Tsai.

Conclusion

Wei-Yu Chiu’s patent portfolio highlights reinforcement learning as a tool for improving renewable-energy coordination and wireless communication resource allocation.