Bin Zhang

Phone+4599409333
Emailbzhenergy.aaudk

Pontoppidanstræde 111
9220 Aalborg Øst
Denmark

Research activity per year

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1 Similar Profiles

1 Finished

Deep Reinforcement Learning based Smart Energy Management Strategy for an Integrated Energy System with Wind Energy
Zhang, B., Chen, Z. & Liu, Z.
01/03/2021 → 29/02/2024
Project: PhD Project

11 Journal article
3 Article in proceeding

Deep Reinforcement Learning-based Power Flow Control for Triple Active Bridge Converter
Ren, H., Wang, Y., Yu, H., Zhang, B. & Chen, Z., 2024, 2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia). IEEE, p. 2107-2112 6 p.
Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Multi-stage planning of integrated electricity-gas-heating system in the context of carbon emission reduction
Wu, X., Zhang, B., Nielsen, M. P. & Chen, Z., 15 Mar 2024, In: Applied Energy. 358, 122584.
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
3 Citations (Scopus)
Coordinated carbon capture systems and power-to-gas dynamic economic energy dispatch strategy for electricity–gas coupled systems considering system uncertainty: An improved soft actor–critic approach
Zhang, B., Wu, X., Ghias, A. M. Y. M. & Chen, Z., 15 May 2023, In: Energy. 271, 126965.
Research output: Contribution to journal › Journal article › Research › peer-review
9 Citations (Scopus)
Electricity Theft Detection Using Euclidean and Graph Convolutional Neural Networks
Liao, W., Yang, Z., Liu, K., Zhang, B., Chen, X. & Song, R., Jul 2023, In: I E E E Transactions on Power Systems. 38, 4, p. 3514-3527 14 p.
Research output: Contribution to journal › Journal article › Research › peer-review
21 Citations (Scopus)
Hybrid data-driven method for low-carbon economic energy management strategy in electricity-gas coupled energy systems based on transformer network and deep reinforcement learning
Zhang, B., Weihao, H., Xu, X., Zhang, Z. & Chen, Z., 15 Jun 2023, In: Energy. 273, 15, 127183.
Research output: Contribution to journal › Journal article › Research › peer-review
12 Citations (Scopus)

Bin Zhang

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Collaborations from the last five years

Dive into details

Deep Reinforcement Learning based Smart Energy Management Strategy for an Integrated Energy System with Wind Energy

Deep Reinforcement Learning-based Power Flow Control for Triple Active Bridge Converter

Multi-stage planning of integrated electricity-gas-heating system in the context of carbon emission reduction

Coordinated carbon capture systems and power-to-gas dynamic economic energy dispatch strategy for electricity–gas coupled systems considering system uncertainty: An improved soft actor–critic approach

Electricity Theft Detection Using Euclidean and Graph Convolutional Neural Networks

Hybrid data-driven method for low-carbon economic energy management strategy in electricity-gas coupled energy systems based on transformer network and deep reinforcement learning

Bin Zhang

Fingerprint

Collaborations from the last five years

Projects

Deep Reinforcement Learning based Smart Energy Management Strategy for an Integrated Energy System with Wind Energy

Research output

Deep Reinforcement Learning-based Power Flow Control for Triple Active Bridge Converter

Multi-stage planning of integrated electricity-gas-heating system in the context of carbon emission reduction

Coordinated carbon capture systems and power-to-gas dynamic economic energy dispatch strategy for electricity–gas coupled systems considering system uncertainty: An improved soft actor–critic approach

Electricity Theft Detection Using Euclidean and Graph Convolutional Neural Networks

Hybrid data-driven method for low-carbon economic energy management strategy in electricity-gas coupled energy systems based on transformer network and deep reinforcement learning