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ORCIDJinhao Li 0001
Person information
- affiliation: Monash University, Department of Data Science and AI, Melbourne, VIC, Australia
- affiliation (former): University of Electronic Science and Technology of China, Chengdu, China
Other persons with the same name
- Jinhao Li 0002 — Northeastern University at Qinhuangdao, School of Control Engineering, China
- Jinhao Li 0003 — Tsinghua University, Xingjian College, Beijing, China
- Jinhao Li 0004
![[0009-0006-9301-5579]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0006-9301-5579")
— University of Melbourne, School of Computing and Information Systems, VIC, Australia - Jinhao Li 0005 — Shandong University, School of Mechanical, Electrical and Information Engineering, Weihai, China
- Jinhao Li 0006 — Shanghai Jiao Tong University, Qing Yuan Research Institute, China
- Jinhao Li 0007 — Beihang University, School of Integrated Circuit Science and Engineering, Beijing, China
- Jinhao Li 0008 — City University of Hong Kong, Department of Information Systems, Hong Kong
- Jinhao Li 0009 — Xiangtan University, MoE Key Laboratory of Intelligent Computing and Information Processing, China
- Jinhao Li 0010 — Chung-Ang University, Graduate School of Advanced Imaging Science, Seoul, South Korea
- Jinhao Li 0011 — East China Normal University, Shanghai, China
- Jinhao Li 0012 — Henan University of Technology, College of Electrical Engineering, Zhengzhou, China
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Journal Articles
- 2024
[j1]Jinhao Li, Changlong Wang, Hao Wang:
Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets. IEEE Trans. Ind. Informatics 20(5): 7205-7215 (2024)
Conference and Workshop Papers
- 2023
- [c2]Zhuo Wei, Frits de Nijs, Jinhao Li, Hao Wang:
Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning. e-Energy 2023: 14-21 - 2021
- [c1]Hongyang Lai, Zhuocheng Yang, Jinhao Li, Celimuge Wu, Wugedele Bao:
A Distributed Computation Offloading Strategy for Edge Computing Based on Deep Reinforcement Learning. MONAMI 2021: 73-86
Informal and Other Publications
- 2024
- [i8]Jinhao Li, Ruichang Zhang, Hao Wang, Zhi Liu, Hongyang Lai, Yanru Zhang:
Deep Reinforcement Learning for Voltage Control and Renewable Accommodation Using Spatial-Temporal Graph Information. CoRR abs/2401.15848 (2024) - [i7]Jinhao Li, Changlong Wang, Hao Wang:
Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets. CoRR abs/2401.15853 (2024) - [i6]Jinhao Li, Changlong Wang, Yanru Zhang, Hao Wang:
Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets. CoRR abs/2402.19110 (2024) - 2023
- [i5]Jinhao Li, Changlong Wang, Hao Wang:
Optimal Energy Storage Scheduling for Wind Curtailment Reduction and Energy Arbitrage: A Deep Reinforcement Learning Approach. CoRR abs/2304.02239 (2023) - [i4]Jinhao Li, Yu Hui Yuan, Qiushi Cui, Hao Wang:
Cross-Entropy-Based Approach to Multi-Objective Electric Vehicle Charging Infrastructure Planning. CoRR abs/2308.14117 (2023) - 2022
- [i3]Zhuo Wei, Frits de Nijs, Jinhao Li, Hao Wang:
Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning. CoRR abs/2212.06542 (2022) - [i2]Jinhao Li, Changlong Wang, Hao Wang:
Deep Reinforcement Learning for Wind and Energy Storage Coordination in Wholesale Energy and Ancillary Service Markets. CoRR abs/2212.13368 (2022) - 2021
- [i1]Jinhao Li, Ruichang Zhang, Hao Wang, Zhi Liu, Hongyang Lai, Yanru Zhang:
Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Spatial-Temporal Graph Information. CoRR abs/2112.11461 (2021)
Coauthor Index
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