Dafeng Zhu

Orcid: 0000-0002-2726-5768

According to our database1, Dafeng Zhu authored at least 9 papers between 2020 and 2024.

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

Timeline

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Links

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Bibliography

2024
Joint Trading and Scheduling Among Coupled Carbon-Electricity-Heat-Gas Industrial Clusters.
IEEE Trans. Smart Grid, May, 2024

2023
To Transmit or Predict: An Efficient Industrial Data Transmission Scheme With Deep Learning and Cloud-Edge Collaboration.
IEEE Trans. Ind. Informatics, November, 2023

2022
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations.
IEEE Trans. Netw. Sci. Eng., 2022

Stochastic Gradient-based Fast Distributed Multi-Energy Management for an Industrial Park with Temporally-Coupled Constraints.
CoRR, 2022

Energy Management Based on Multi-Agent Deep Reinforcement Learning for A Multi-Energy Industrial Park.
CoRR, 2022

A Deep Learning Based Efficient Data Transmission for Industrial Cloud-Edge Collaboration.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

A PV Fault Diagnosis Framework Based on Asynchronous Federated Learning.
Proceedings of the 13th Asian Control Conference, 2022

2021
Fast Distributed Stochastic Scheduling for A Multi-Energy Industrial Park.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

2020
Energy Trading in Microgrids for Synergies among Electricity, Hydrogen and Heat Networks.
CoRR, 2020


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