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Conference and Workshop Papers
- 2022
[c1]Hou Shengren
, Edgar Mauricio Salazar Duque, Pedro P. Vergara, Peter Palensky:
Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling. ISGT-Europe 2022: 1-6
Informal and Other Publications
- 2024
- [i6]Xue Yao, Shengren Hou, Serge P. Hoogendoorn, Simeon C. Calvert:
Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing. CoRR abs/2407.02521 (2024) - [i5]Shengren Hou, Shuyi Gao, Weijie Xia, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara:
RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution Networks. CoRR abs/2408.03685 (2024) - [i4]Shengren Hou, Peter Palensky, Pedro P. Vergara:
Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks. CoRR abs/2411.00995 (2024) - 2023
- [i3]Hou Shengren, Pedro P. Vergara, Edgar Mauricio Salazar Duque, Peter Palensky:
Optimal Energy System Scheduling Using A Constraint-Aware Reinforcement Learning Algorithm. CoRR abs/2305.05484 (2023) - [i2]Shengren Hou, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara:
A Constraint Enforcement Deep Reinforcement Learning Framework for Optimal Energy Storage Systems Dispatch. CoRR abs/2307.14304 (2023) - 2022
- [i1]Hou Shengren, Edgar Mauricio Salazar Duque, Pedro P. Vergara, Peter Palensky:
Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling. CoRR abs/2208.00728 (2022)
Coauthor Index
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