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THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
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THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
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Research on full-spectrum solar power-based photo-electro-thermal coupled hydrogen-electric co-generation theory and technology
Project
项目类型: FDCT, 项目编号: 20240111165758550/AGJ, 2025-2027
Authors:
Tang CH(唐朝暉)
;
Song YH(宋永华)
;
Guo LJ(郭烈锦)
;
Wang MH(王明浩)
;
Zhang HC(张洪财)
; et al.
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Submit date:2024/08/23
Towards High-Performance Isolated Energy Router in Distributed Energy Storage Systems
Project
项目编号: MYRG-GRG2024-00204-IOTSC, 2025-2026
Authors:
WANG MINGHAO
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Submit date:2024/09/02
A frequency-secured planning method for integrated electricity-heat microgrids with virtual inertia suppliers
Journal article
Hui Li, Hongcai Zhang, Ji Zhang, Qiuwei Wu, Chi-Kong Wong. A frequency-secured planning method for integrated electricity-heat microgrids with virtual inertia suppliers[J]. Applied Energy, 2025, 377(Part B), 124540.
Authors:
Hui Li
;
Hongcai Zhang
;
Ji Zhang
;
Qiuwei Wu
;
Chi-Kong Wong
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TC[WOS]:
0
TC[Scopus]:
0
IF:
10.1
/
10.4
|
Submit date:2024/10/17
Lyapunov-based distributed secondary frequency and voltage control for distributed energy resources in islanded microgrids with expected dynamic performance improvement
Journal article
Jinshuo Su, Hongcai Zhang, Hui Liu, Dundun Liu. Lyapunov-based distributed secondary frequency and voltage control for distributed energy resources in islanded microgrids with expected dynamic performance improvement[J]. Applied Energy, 2025, 377(Part C), 124539.
Authors:
Jinshuo Su
;
Hongcai Zhang
;
Hui Liu
;
Dundun Liu
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
10.1
/
10.4
|
Submit date:2024/10/17
Privacy-preserving coordination of power and transportation networks using spatiotemporal GAT for predicting EV charging demands
Journal article
Sheng Chen, Hao Cheng, Hongcai Zhang, Si Lv, Zhinong Wei, Yuyang Jin. Privacy-preserving coordination of power and transportation networks using spatiotemporal GAT for predicting EV charging demands[J]. Applied Energy, 2025, 377(Part A).
Authors:
Sheng Chen
;
Hao Cheng
;
Hongcai Zhang
;
Si Lv
;
Zhinong Wei
; et al.
Favorite
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TC[WOS]:
0
TC[Scopus]:
0
IF:
10.1
/
10.4
|
Submit date:2024/09/20
Voltage control of distribution grid with district cooling systems based on scenario-classified reinforcement learning
Journal article
Peipei Yu, Hongcai Zhang, Zechun Hu, Yonghua Song. Voltage control of distribution grid with district cooling systems based on scenario-classified reinforcement learning[J]. Applied Energy, 2025, 377(Part B), 124415.
Authors:
Peipei Yu
;
Hongcai Zhang
;
Zechun Hu
;
Yonghua Song
Favorite
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TC[WOS]:
0
TC[Scopus]:
0
IF:
10.1
/
10.4
|
Submit date:2024/10/17
IEEE-TLT Special Issue on Artificial Intelligence Empowered Entrepreneurship Education and Lifelong Learning
Journal
创刊日期: 2024,
Authors:
Pengyang Wang
;
Minghao Yin
;
Enhong Chen
;
Xiaoyan Chu
;
Daniel Novak
; et al.
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Submit date:2024/08/28
Multi-threshold deep metric learning for facial expression recognition
Journal article
Yang, Wenwu, Yu, Jinyi, Chen, Tuo, Liu, Zhenguang, Wang, Xun, Shen, Jianbing. Multi-threshold deep metric learning for facial expression recognition[J]. Pattern Recognition, 2024, 156, 110711.
Authors:
Yang, Wenwu
;
Yu, Jinyi
;
Chen, Tuo
;
Liu, Zhenguang
;
Wang, Xun
; et al.
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TC[Scopus]:
0
IF:
7.5
/
7.6
|
Submit date:2024/08/05
Facial Expression Recognition
Multiple Thresholds
Triplet Loss Learning
Deep learning model for solar and wind energy forecasting considering Northwest China as an example
Journal article
Li, Pengyu, Yang, Huiyu, Wu, Han, Wang, Yujia, Su, Hao, Zheng, Tianlong, Zhu, Fang, Zhang, Guangtao, Han, Yu. Deep learning model for solar and wind energy forecasting considering Northwest China as an example[J]. Results in Engineering, 2024, 24, 102939.
Authors:
Li, Pengyu
;
Yang, Huiyu
;
Wu, Han
;
Wang, Yujia
;
Su, Hao
; et al.
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TC[WOS]:
1
TC[Scopus]:
1
IF:
6.0
/
5.6
|
Submit date:2024/10/10
Attention-based Spatial-temporal Graph Neural Network
Deep Learning
Long Short-term Memory
Solar Energy
Wind Energy
GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models
Journal article
Liao, Haicheng, Shen, Huanming, Li, Zhenning, Wang, Chengyue, Li, Guofa, Bie, Yiming, Xu, Chengzhong. GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models[J]. Communications in Transportation Research, 2024, 4, 100116.
Authors:
Liao, Haicheng
;
Shen, Huanming
;
Li, Zhenning
;
Wang, Chengyue
;
Li, Guofa
; et al.
Favorite
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TC[WOS]:
8
TC[Scopus]:
12
IF:
12.5
/
12.5
|
Submit date:2024/03/05
Autonomous Driving
Cross-modal Attention
Human-machine Interaction
Large Language Models
Visual Grounding