activity
20202024
most citedEnergy Management Based on Multi-Agent Deep Reinforcement Learning for A Multi-Energy Industrial Park

92 citations · 284 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2024

Optimal Hardening Strategy for Electricity-Hydrogen Networks with Hydrogen Leakage Risk Control against Extreme Weather

Sicheng Liu, Bo Yang, Xin Li +4

Defense hardening can effectively enhance the resilience of distribution networks against extreme weather disasters. Currently, most existing hardening strategies focus on reducing…

eess.SY2023★ 41 cited

Joint Trading and Scheduling among Coupled Carbon-Electricity-Heat-Gas Industrial Clusters

Dafeng Zhu, Bo Yang, Yu Wu +4

This paper presents a carbon-energy coupling management framework for an industrial park, where the carbon flow model accompanying multi-energy flows is adopted to track and suppre…

eess.SY2022

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

Dafeng Zhu, Bo Yang, Chengbin Ma +4

Contemporary industrial parks are challenged by the growing concerns about high cost and low efficiency of energy supply. Moreover, in the case of uncertain supply/demand, how to m…

cs.LG2022★ 60 cited

Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations

Qi Liu, Bo Yang, Zhaojian Wang +4

Due to the different losses caused by various photovoltaic (PV) array faults, accurate diagnosis of fault types is becoming increasingly important. Compared with a single one, mult…

eess.SY2022★ 92 cited

Energy Management Based on Multi-Agent Deep Reinforcement Learning for A Multi-Energy Industrial Park

Dafeng Zhu, Bo Yang, Yuxiang Liu +3

Owing to large industrial energy consumption, industrial production has brought a huge burden to the grid in terms of renewable energy access and power supply. Due to the coupling…

eess.SY2021

Fast Distributed Stochastic Scheduling for A Multi-Energy Industrial Park

Dafeng Zhu, Bo Yang, Zhaojian Wang +3

The multi-energy management framework of industrial parks advocates energy conversion and scheduling, which takes full advantage of the compensation and temporal availability of mu…

eess.SY2020★ 91 cited

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

Dafeng Zhu, Bo Yang, Qi Liu +3

The emerging paradigm of interconnected microgrids advocates energy trading or sharing among multiple microgrids. It helps make full use of the temporal availability of energy and…