A5100774281- Photonic and Optical Devices
- Advanced Fiber Optic Sensors
- Microgrid Control and Optimization
- Semiconductor Lasers and Optical Devices
- Smart Grid Security and Resilience
- Power Systems and Renewable Energy
- Smart Grid and Power Systems
- Smart Grid Energy Management
- Power System Optimization and Stability
- Solid State Laser Technologies
- Advanced Fiber Laser Technologies
- Energy Load and Power Forecasting
- Network Security and Intrusion Detection
- Power Systems and Technologies
- HVDC Systems and Fault Protection
- Magnetic Field Sensors Techniques
- High-Voltage Power Transmission Systems
- Optical Systems and Laser Technology
- Laser Design and Applications
- Optical Network Technologies
- Hybrid Renewable Energy Systems
- Advanced Computational Techniques and Applications
- Power Systems Fault Detection
- Fault Detection and Control Systems
- Integrated Energy Systems Optimization
Jinzhong University
2025
University of Electronic Science and Technology of China
2015-2024
Hohai University
2007-2024
Hainan Normal University
2024
National Engineering Research Center of Electromagnetic Radiation Control Materials
2013-2024
Chengdu University of Technology
2008-2024
Liaocheng University
2023-2024
Tianjin University of Technology
2024
Russian University of Transport
2024
Guilin University of Technology
2023
The short-term load forecasting is crucial in the power system operation and control. However, due to its nonstationary complicated random features, an accurate forecast of behavior challenging. An improved method proposed this article. At first, decomposed into different frequency components varying from low high levels realized by ensemble empirical-mode decomposition algorithm. Then, smooth periodic low-frequency are predicted multivariable linear regression while maintaining efficient...
The smart substation, revolutionarily changing every aspect of the modern is developing fast in world and being massively deployed China quickly. A substation typically implemented with a sophisticated combination primary high-voltage equipment hierarchically networked secondary devices. Based on IEC61850 communication protocol, functionalities, such as information sharing interoperability among electric equipment, are realized substations. It regarded basis for development grid represents...
Power distribution mechanism in smart grid necessitates the development of an easy-to-install and contactless sensing system to monitor operational state overhead high-voltage transmission lines. Here, we propose a robust phase current sag estimation method at support structures. Novelty our work is use dual-axis magnetic field (MF) sensors equal number conductors. This realized by installing array optimally placed same vertical plane as conductors on tower. The optimal position sensor was...
Iterative learning control (ILC) is a high‐performance technique for repeated tasks with design postulates on fixed reference profile and identical initial conditions. However, the tracking performance only critical at few points in point‐to‐point tasks, their conditions are usually trial‐varying within certain range practice, which essentially degrades of conventional ILC algorithms. Therefore, this study reformulates problem setup considers effort algorithm design. To reduce error, it...
In the power system, application of signals transmitted from sensors to controller can significantly improve dynamic performance. However, cyber-attacks and time delays exist widely in communication network, which has a considerable effect on stability, operation, control. this paper, an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${{\boldsymbol{H}}_\infty }$</tex-math></inline-formula> load frequency...
Recently, various strategies for energy management have been proposed to improve efficiency in smart grids. One key aspect of this is the use microgrids. To effectively manage a residential microgrid, advanced computational tools are required maintain balance between supply and demand. The concept load disaggregation through non-intrusive monitoring (NILM) emerging as cost-effective solution optimize utilization these systems without need extensive sensor infrastructure. This paper presents...
There are lots of cyber-attack, especially false data injection attacks, in modern power systems. This attack can circumvent traditional residual-based detection methods, and destroy the integrity control information, thus hindering stability system. In this paper, a novel Spatio-temporal mechanism is proposed to evaluate locate attacks. method, temporal correlation spatial analyzed by cubature Kalman filter Gaussian process regression, respectively, capture dynamic features state vectors....
This study examines the application of onboard Internet Things (IoT) technology in intelligent automotive industry, particularly integration Environmental, Social, and Governance (ESG) principles with IoT importance mandatory standardization. The research initially analyzes current development its applications smart sector, highlighting potential to enhance road safety, increase energy efficiency, improve user experience. Subsequently, paper discusses necessity incorporating ESG into...
Knowledge graph-based recommendation methods are a hot research topic in the field of recommender systems recent years. As mainstream knowledge method, propagation-based method captures users’ potential interests items by integrating representations entities and relations graph high-order connection patterns between to provide personalized recommendations. For example, collaborative knowledge-aware attentive network (CKAN) is typical state-of-the-art that combines user-item interactions...
Despite the global push for net-zero emission and power system's decarbonization, there are still a lot of developing countries (especially in sub-Saharan Africa) with electricity crises or inadequate electrification. Coincidentally, these have enormous renewable energy potential. Therefore, this paper presents brief summary incapacitation potential many African countries. This study is novel as it techno-analysis 100% electrification Chad which one least access globally. Also, models...
Wind and photovoltaic (PV) power forecasting are crucial for improving the operational efficiency of systems building smart systems. However, uncertainty instability factors affecting renewable generation pose challenges to system operations. To address this, this paper proposes a digital twin-based method predicting wind PV power. By utilizing twin technology, approach provides highly realistic simulation environment that enables accurate monitoring, optimal control, decision support...
The affordability and availability of water energy have a huge impact on food production. Research has shown that there exists direct indirect link between power production clean generation. Hence the inclusion/importance given to energy-water-food (EWF) nexus in United Nations' sustainable development goals. Acknowledging importance decarbonization global future, gap literature models can enhance EWF nexus, reduce poverty, achieve 100% renewable electricity sector. Therefore, technical...
With increasing requirements of online monitoring Overhead Transmission Lines (OTL) in smart grids, contact-free measurement technologies have been updated these decades. However, the contactless sensors past research are still limited to application environment like wind deflection. This paper proposes an advanced detection approach with a novel structure enhance possibility implementation and reduce cost. Three pairs probes arranged curved pattern can collect differential voltage signals...