Jinhao Li

Orcid: 0000-0002-4812-3320

Affiliations:
  • Monash University, Department of Data Science and AI, Melbourne, VIC, Australia
  • University of Electronic Science and Technology of China, Chengdu, China (former)


According to our database1, Jinhao Li authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets.
IEEE Trans. Ind. Informatics, May, 2024

Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets.
CoRR, 2024

Deep Reinforcement Learning for Voltage Control and Renewable Accommodation Using Spatial-Temporal Graph Information.
CoRR, 2024

2023
Cross-Entropy-Based Approach to Multi-Objective Electric Vehicle Charging Infrastructure Planning.
CoRR, 2023

Optimal Energy Storage Scheduling for Wind Curtailment Reduction and Energy Arbitrage: A Deep Reinforcement Learning Approach.
CoRR, 2023

Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

2022
Deep Reinforcement Learning for Wind and Energy Storage Coordination in Wholesale Energy and Ancillary Service Markets.
CoRR, 2022

2021
Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Spatial-Temporal Graph Information.
CoRR, 2021

A Distributed Computation Offloading Strategy for Edge Computing Based on Deep Reinforcement Learning.
Proceedings of the Mobile Networks and Management - 11th EAI International Conference, 2021


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