A5045261798- Smart Grid Energy Management
- Microgrid Control and Optimization
- Cognitive Computing and Networks
- Smart Grid Security and Resilience
- Electric Vehicles and Infrastructure
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
National University of Defense Technology
2024-2025
Deakin University
2023
As the climate crisis worsens, power grids are gradually transforming into a more sustainable state through renewable energy sources (RESs), storage systems (ESSs), and smart loads. Virtual plants (VPP) an emerging concept that can flexibly integrate distributed resources (DERs), managing manage output of each DER unit, as well consumption loads, to balance electricity supply demand in real time. VPPs participate markets, enable self-scheduling RESs, facilitate trading sharing, provide...
This work presents a two-stage optimization model for virtual power plants (VPPs) consisting of interconnected microgrids (IMGs) with different load profiles, to provide demand-side frequency control ancillary services (D-FCAS). In the day-ahead scheduling stage, hourly consumption baseline and regulation capacity next day are predicted rewarded by market operator. real-time dynamic (RegD) signal from grid is distributed according electricity unit price each microgrid (MG), followed novel...
This study presents a knowledge graph construction scheme leveraging large language models (LLMs) for task-oriented semantic communication systems. The proposed methodology systematically addresses four critical stages: corpus collection, entity extraction and relationship analysis, base generation, dynamic updating mechanisms. It is worth noting that prompt engineering combined with few-shot learning to enhance reliability accuracy in this methodology. Experimental demonstration showed had...
With the development of artificial intelligence and computer hardware, semantic communication has been attracting great interest. As an emerging paradigm, can reduce requirement for channel bandwidth by extracting information. This is effective method that be applied to image acquisition unmanned aerial vehicles, which transmit high-data-volume images within constraints limited available bandwidth. However, existing schemes fail adequately incorporate guidance task requirements into process...