A5067218610- Rough Sets and Fuzzy Logic
- Cognitive Computing and Networks
- Semantic Web and Ontologies
- Advanced Battery Technologies Research
- Advanced Computational Techniques and Applications
- Geoscience and Mining Technology
- Logic, Reasoning, and Knowledge
- Electric Vehicles and Infrastructure
- Optimal Power Flow Distribution
- Neural Networks and Applications
- Access Control and Trust
- Microgrid Control and Optimization
- Integrated Energy Systems Optimization
- Slime Mold and Myxomycetes Research
- Cloud Data Security Solutions
- Complex Network Analysis Techniques
- Energy, Environment, and Transportation Policies
China Agricultural University
2023-2024
Beijing University of Technology
2005-2013
Recently, extreme disasters considered as high-impact low-probability (HILP) events have caused severe power outages. User-level integrated energy systems (UIESs) is being widely formed and accessed to distribution networks (DNs), which has the potential enhance resilience of DNs. Therefore, multiple UIESs-accessed DNs against such HILP are required in order network. In this paper, from a resilience-oriented perspective, an equilibrium allocation method storage (ESSs) proposed considering...
In recent years, the detection of network community structures has been adopted to address distributed resource optimization issue in networks. This paper presents an autonomy-oriented search strategy tackle it. The is based on ideas self-organization and positive feedback from methodology Autonomy-Oriented Computing (AOC). uses bio-inspired autonomous agents which can use their edges distinguish communities. Agents are equipped with one behavior (move) three selections (best selection,...
The Web has become an extremely large source of information and also a platform various e-service including e-business, e-science, e-learning, e-government, etc. How to develop the new technology discover useful knowledge from Web-based data is one challenges in area Intelligence. Inductive logic programming field defined as intersection machine learning programming. Two strengths inductive programming, namely, expressive representation formalism use background make it suitable deal with...