A5100456968- Advanced Battery Technologies Research
- Electric Vehicles and Infrastructure
- Energy Load and Power Forecasting
- Smart Grid Energy Management
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Metaheuristic Optimization Algorithms Research
- Electric Power System Optimization
- Advancements in Battery Materials
- Photorefractive and Nonlinear Optics
- Photonic and Optical Devices
- Infrastructure Maintenance and Monitoring
- Microgrid Control and Optimization
- Manufacturing Process and Optimization
- Occupational Health and Safety Research
- BIM and Construction Integration
- Scheduling and Optimization Algorithms
- Smart Grid and Power Systems
- Advanced Algorithms and Applications
- Advanced Multi-Objective Optimization Algorithms
- Magnesium Alloys: Properties and Applications
- Advanced Manufacturing and Logistics Optimization
- Anomaly Detection Techniques and Applications
- Optimal Power Flow Distribution
- Power System Optimization and Stability
Chinese Academy of Sciences
2016-2025
Shenzhen Institutes of Advanced Technology
2016-2025
Northwest Normal University
2025
Hebei Normal University
2025
University of Chinese Academy of Sciences
2021-2023
South China Institute Of Environmental Sciences
2023
University of Science and Technology of China
2019
Hunan University of Science and Technology
2005-2018
Queen's University Belfast
2013-2017
Changsha University of Science and Technology
2014-2015
Load forecasting is one of the major challenges power system operation and crucial to effective scheduling for economic dispatch at multiple time scales. Numerous load methods have been proposed household commercial demand, as well loads various nodes in a grid. However, compared with conventional loads, uncoordinated charging large penetration plug-in electric vehicles different terms periodicity fluctuation, which renders current techniques ineffective. Deep learning methods, empowered by...
Short-term load forecasting is a key task to maintain the stable and effective operation of power systems, providing reasonable future curve feeding unit commitment economic dispatch. In recent years, boost internal combustion engine (ICE) based vehicles leads fossil fuel shortage environmental pollution, bringing significant contributions greenhouse gas emissions. One ways solve problems use electric (EVs) replace ICE vehicles. However, mass rollout EVs may cause severe system due huge...
Systematic principal component analysis (PCA) methods are presented in this paper for reliable islanding detection power systems with significant penetration of distributed generations (DGs), where synchrophasors, recorded by phasor measurement units, used system monitoring. Existing methods, such as rate-of-change-of-frequency and vector shift fast processing local information; however, the growth installed capacity DGs, they suffer from several drawbacks. Incumbent genset cannot...
Temperature is a crucial state to guarantee the reliability and safety of battery during operation. The ability estimate temperature, especially internal paramount importance management system for monitoring thermal control purposes. In this paper, data-driven approach combining RBF neural network (NN) extended Kalman filter (EKF) proposed temperature lithium-ion management. To be specific, suitable input terms number hidden nodes NN are first optimized by two-stage stepwise identification...
Abstract Construction projects face various constraints in terms of materials, labor, equipment, and documents, which can interrupt the scheduled work. Package‐based constraint management (PCM) is a state‐of‐the‐art graph‐based approach that follows lean theory to effectively model, monitor, remove before commencement work, ensuring smooth construction minimizing delay waste. PCM relies on exploring investigating project knowledge bases (KBs), formed by entity‐relation‐entity triples...
Multi-energy synergy systems integrating high-penetration large-scale plug-in electric vehicles, distributed renewable energy generations, and battery storage have great potential to reduce the reliance of grid on traditional fossil fuels. However, random charging characteristics vehicles uncertainty photovoltaics may impose an additional burden affect supply–demand equilibrium. To address this issue, judicious scheduling optimization offers effective solution. In study, considering charge...
Short-term load forecasting is an important issue in energy management system and a key measure to maintain the stable effective operation of power systems, providing reasonable future curve feeding unit commitment economic dispatch. Specifically, at different time scales has various corresponding roles systems. In recent years, plug-in electric vehicles have gradually become popular major cities, number growing rapidly. However, mass roll out EVs may cause severe problems due huge charging...
In the practical scenario of construction sites with extremely complicated working environment and numerous personnel, it is challenging to detect safety helmet wearing (SHW) in real time on premise ensuring high precision performance. this paper, a novel SHW detection model basis improved YOLOv3 (named CSYOLOv3) presented heighten capability target site. Firstly, backbone network darknet53 by applying cross stage partial (CSPNet), which reduces calculation cost improves training speed....
Dynamic economic dispatch (DED) considering valve-point effects and transmission losses is a complex constrained optimization problem with non-smooth, non-linear non-convex characteristics which has always been significant challenge. To tackle the DED problem, an enhanced exploratory whale algorithm (EEWOA) constraint handling technique unit efficiency are proposed. Firstly, adaptive prey mechanism created to enhance population diversity of swarm, EEWOA method developed. Secondly, technology...