Shengren Hou

According to our database, Shengren Hou authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Topology-Aware Graph Reinforcement Learning for Energy Storage Systems Optimal Dispatch in Distribution Networks.

Shuyi Gao, Stavros Orfanoudakis, Shengren Hou, Peter Palensky, Pedro P. Vergara

CoRR, March, 2026

2024

Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks.

Shengren Hou, Peter Palensky, Pedro P. Vergara

CoRR, 2024

RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution Networks.

Shengren Hou, Shuyi Gao, Weijie Xia, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara

CoRR, 2024

Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing.

Xue Yao, Shengren Hou, Serge P. Hoogendoorn, Simeon C. Calvert

CoRR, 2024

Linear Reinforcement Learning for Energy Storage Systems Optimal Dispatch.

Shuyi Gao, Shengren Hou, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

2023

A Constraint Enforcement Deep Reinforcement Learning Framework for Optimal Energy Storage Systems Dispatch.

Shengren Hou, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara

CoRR, 2023

Optimal Energy System Scheduling Using A Constraint-Aware Reinforcement Learning Algorithm.

Hou Shengren, Pedro P. Vergara, Edgar Mauricio Salazar Duque, Peter Palensky

CoRR, 2023

2022

Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling.

Hou Shengren, Edgar Mauricio Salazar Duque, Pedro P. Vergara, Peter Palensky

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022