A5041088605- Energy Load and Power Forecasting
- Smart Grid Energy Management
- Electric Power System Optimization
- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- Smart Grid Security and Resilience
- Grey System Theory Applications
- Smart Grid and Power Systems
- Power System Optimization and Stability
- Energy, Environment, Economic Growth
- Building Energy and Comfort Optimization
- Power System Reliability and Maintenance
- Energy Efficiency and Management
- Power Systems and Renewable Energy
- Advanced Battery Technologies Research
- Geoscience and Mining Technology
- Advanced Malware Detection Techniques
- Advanced Algorithms and Applications
- Integrated Energy Systems Optimization
- Electric Vehicles and Infrastructure
- Global Energy Security and Policy
- Energy, Environment, and Transportation Policies
- Environmental Impact and Sustainability
- Solar Radiation and Photovoltaics
- Photovoltaic System Optimization Techniques
University of Central Florida
2016-2025
University of Chinese Academy of Sciences
2025
Changchun Institute of Optics, Fine Mechanics and Physics
2025
Chinese Academy of Sciences
2025
Unité Matériaux et Transformations
2024
Tianjin University
2024
Liaocheng University
2024
North China Electric Power University
2010-2022
China General Nuclear Power Corporation (China)
2019
South Dakota State University
2013-2015
Wind energy is rapidly growing. While wind brings us clean and inexpensive energy, its inherent variability uncertainty present challenges for the power grid. In particular, employing system restoration very challenging. A fast reliable plays a vital role to achieve self-healing This paper develops novel offline planning tool harnessing enhance grid resilience. The wind-for-restoration problem formulated as stochastic mixed-integer linear programming with generated scenarios. then decomposed...
Wuhan city is the biggest in central China and has suffered subsidence problems recent years because of its rapid urban construction. However, longtime wide range monitoring land lacking. The causes also require further study, such as natural conditions human activities. We use small baseline subset (SBAS) interferometric synthetic aperture radar (InSAR) method high-resolution RADARSAT-2 images acquired between 2015 2018 to derive subsidence. SBAS-InSAR results are validated by 56 leveling...
We studied the mechanism of influence Internet Things (IOT) product characteristics on consumer purchase intention. The results a survey 360 consumers showed that 6 dimensions IOT intention; namely connectivity, interactivity, telepresence, intelligence, convenience, and security. found customer experience was key mediating variable in relationship between Connectivity, security all positively influenced intention via functional experience. Furthermore, emotional Our findings study provide...
The increasing penetration of wind energy poses great challenges to the operation power systems in normal and emergency states. However, storage technologies can help accommodate uncertainty variability due their flexible characteristics. This paper focuses on restoration phase, provides a novel coordination strategy pumped-storage hydro (PSH) units for faster reliable self-healing process. wind-PSH assisted system is formulated as two-stage adaptive robust optimization problem. first-stage...
Power outages cost American industries and businesses billions of dollars jeopardize the lives hospital patients. The losses can be greatly reduced with a fast, reliable, flexible self-healing tool. This paper is aimed to tackle challenging task developing an adaptive restoration decision support system (RDSS). proposed RDSS determines actions both in planning real-time phases adapts constantly changing conditions. comprehensive formulation encompasses practical constraints including ac...
With the increasing penetration of distributed generators in smart grids, having knowledge rapid real-time electromechanical dynamic states has become crucial to system stability control. Conventional Supervisory Control and Data Acquisition (SCADA)-based state estimation (DSE) techniques are limited by slow sampling rates, while emerging phasor measurement units (PMUs) technology enables measurements at network nodes. Using generator bus terminal voltages, we propose a hybrid-learning DSE...
Commercial buildings are great demand response resources in the energy and regulation markets. Many commercial building heating, ventilation air conditioning (HVAC) systems composed of a chiller producing chilled water, multiple Air-Handling Units (AHUs) distributing cooled to thermal zones. Demand such has potential closely track market signals. However, existing control methods mostly focused on fan control, neglecting impact loop power consumption water pumps chillers. This paper presents...
After a major outage happens, the independent system operator, transmission owners (TOs), generation (GOs), and distribution (DOs) should coordinate control actions to restore power timely reliably. This study proposes methodology establish load restoration plans for coordination among these participants. models as multi-stage decision-making process. At each stage, mixed-integer nonlinear model (MINLR) is formulated maximise pickup subject AC flow reserve constraints. Comprehensive...