604 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Northeast Electric Power UniversityCN10 papers
- Tsinghua UniversityCN8 papers
- Global Energy Interconnection Research Institute North AmericaUS6 papers
- Shanghai Electric (China)CN5 papers
- Zhejiang UniversityCN5 papers
- Huazhong University of Science and TechnologyCN4 papers
- Aalborg UniversityDK3 papers
- China Electric Power Research Institute3 papers
- Chinese Academy of SciencesCN3 papers
- Xi'an Jiaotong UniversityCN3 papers
- Chongqing UniversityCN2 papers
- City University of Hong KongHK2 papers
54 papers
LSTN: A Linear Model of Industrial Production Process for Demand Response
Ruike Lyu, Hongye Guo, Yuanjie Zheng +2
Industrial production modeling provides operational constraints for industrial users participating in demand response (DR) programs. Conventional modeling of the production process…
Unit-to-Plant Stability Shaping of Multi-Electrolyzer ReP2H Plants via Interface Design and Dispatch
Miao Zhang, Yiwei Qiu, Xiaoyu Wang +5
Alkaline water electrolysis (AWE) units supplied by insulated gate bipolar transistor rectifiers (IGBT-Rs) may experience oscil-lations caused by coupling between rectifier control…
Hot Standby in Ammonia Synthesis Reshapes Market Equilibrium in Renewable P2A Systems: A Potential Game Approach
Yangjun Zeng, Yiwei Qiu, Xiaocong Sun +5
Integrating renewable generation, hydrogen production, and renewable ammonia (RA) synthesis into power-to-ammonia (P2A) systems creates interactions across electricity and hydrogen…
VeriFuzzy: A Dynamic Verifiable Fuzzy Search Service for Encrypted Cloud Data
Jie Zhang, Xiaohong Li, Man Zheng +4
Enabling search over encrypted cloud data is essential for privacy-preserving data outsourcing. While searchable encryption has evolved to support individual requirements like fuzz…
Statistical CSI Acquisition for Multi-frequency Massive MIMO Systems
Jinke Tang, Li You, Xinrui Gong +4
Multi-frequency massive multi-input multi-output (MIMO) communication is a promising strategy for both 5G and future 6G systems, ensuring reliable transmission while enhancing freq…
AI-Enhanced Resilience in Power Systems: Adversarial Deep Learning for Robust Short-Term Voltage Stability Assessment under Cyber-Attacks
Yang Li, Shitu Zhang, Yuanzheng Li
In the era of Industry 4.0, ensuring the resilience of cyber-physical systems against sophisticated cyber threats is increasingly critical. This study proposes a pioneering AI-base…
MambaXCTrack: Mamba-based Tracker with SSM Cross-correlation and Motion Prompt for Ultrasound Needle Tracking
Yuelin Zhang, Long Lei, Wanquan Yan +3
Ultrasound (US)-guided needle insertion is widely employed in percutaneous interventions. However, providing feedback on the needle tip position via US imaging presents challenges…
Physical Informed-Inspired Deep Reinforcement Learning Based Bi-Level Programming for Microgrid Scheduling
Yang Li, Jiankai Gao, Yuanzheng Li +4
To coordinate the interests of operator and users in a microgrid under complex and changeable operating conditions, this paper proposes a microgrid scheduling model considering the…
Interpretable Clustering: A Survey
Lianyu Hu, Mudi Jiang, Junjie Dong +2
In recent years, much of the research on clustering algorithms has primarily focused on enhancing their accuracy and efficiency, frequently at the expense of interpretability. Howe…
NeSLAM: Neural Implicit Mapping and Self-Supervised Feature Tracking With Depth Completion and Denoising
Tianchen Deng, Yanbo Wang, Hongle Xie +4
In recent years, there have been significant advancements in 3D reconstruction and dense RGB-D SLAM systems. One notable development is the application of Neural Radiance Fields (N…
Energy Consumption Analysis for Continuous Phase Modulation in Smart-Grid Internet of Things of beyond 5G
Hongjian Gao, Yang Lu, Shaoshi Yang +3
Wireless sensor network (WSN) underpinning the smart-grid Internet of Things (SG-IoT) has been a popular research topic in recent years due to its great potential for enabling a wi…
Contrastive Multi-Level Graph Neural Networks for Session-based Recommendation
Fuyun Wang, Xingyu Gao, Zhenyu Chen +1
Session-based recommendation (SBR) aims to predict the next item at a certain time point based on anonymous user behavior sequences. Existing methods typically model session repres…
Enhancing Cyber-Resilience in Integrated Energy System Scheduling with Demand Response Using Deep Reinforcement Learning
Yang Li, Wenjie Ma, Yuanzheng Li +3
Optimally scheduling multi-energy flow is an effective method to utilize renewable energy sources (RES) and improve the stability and economy of integrated energy systems (IES). Ho…
Coordinating O&M and Logistical Resources to Enhance Post-Disaster Resilience of Interdependent Power and Natural Gas Distribution Systems
Wei Wang, Kaigui Xie, Hongbin Wang +3
Electric power and natural gas systems are becoming increasingly interdependent, driven by the growth of natural gas-fired generation and the electrification of the gas industry. R…
A centimeter-scale achromatic hybrid metalens with polarization-insensitivity in the visible
Tie Hu, Shengqi Wang, Yunxuan Wei +4
Metalenses, featuring ultra-compactness and CMOS compatibility, are limited by the compromise between the diameter, numerical aperture, and working waveband. To address this proble…
Cycle Self-Training for Semi-Supervised Object Detection with Distribution Consistency Reweighting
Hao Liu, Bin Chen, Bo Wang +3
Recently, many semi-supervised object detection (SSOD) methods adopt teacher-student framework and have achieved state-of-the-art results. However, the teacher network is tightly c…
Efficient Second Harmonic Generation from Silicon Slotted Nanocubes with Bound States in the Continuum
C. Fang, Q. Yang, Q. Yuan +6
Optical materials with centrosymmetry, such as silicon and germanium, are unfortunately absent of second-order nonlinear optical responses, hindering their developments in efficien…
High-Q Resonances Governed by the Quasi-Bound States in the Continuum in All-Dielectric Metasurfaces
C. Fang, Q. Yang, Q. Yuan +6
The realization of high-Q resonances in a silicon metasurface with various broken-symmetry blocks is reported. Theoretical analysis reveals that the sharp resonances in the metasur…
Research on Flexibility Margin of Electric-Hydrogen Coupling Energy Block Based on Model Predictive Control
Zijiao Han, Shun Yuan, Yannan Dong +3
Hydrogen energy plays an important role in the transformation of low-carbon energy, and electric hydrogen coupling will become a typical energy scenario. Aiming at the operation fl…
Values of Coordinated Residential Space Heating in Demand Response Provision
Zihang Dong, Xi Zhang, Goran Strbac
Demand-side response from space heating in residential buildings can potentially provide a huge amount of flexibility for the power system, particularly with deep electrification o…
Hierarchical Stochastic Scheduling of Multi-Community Integrated Energy Systems in Uncertain Environments via Stackelberg Game
Yang Li, Bin Wang, Zhen Yang +2
An operating entity utilizing community-integrated energy systems with a large number of small-scale distributed energy sources can easily trade with existing distribution markets.…
Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments
Yang Li, Bin Wang, Zhen Yang +2
The community integrated energy system (CIES) is an essential energy internet carrier that has recently been the focus of much attention. A scheduling model based on chance-constra…
Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-based Multi-period Forecasting
Yang Li, Ruinong Wang, Zhen Yang
In order to reduce the negative impact of the uncertainty of load and renewable energies outputs on microgrid operation, an optimal scheduling model is proposed for isolated microg…
Coordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems with an Electric Vehicle Charging Station: A Bi-level Approach
Yang Li, Meng Han, Zhen Yang +1
A community integrated energy system (CIES) with an electric vehicle charging station (EVCS) provides a new way for tackling growing concerns of energy efficiency and environmental…