A5113008725- Optimization and Variational Analysis
- Advanced Optimization Algorithms Research
- Smart Grid Energy Management
- Stochastic processes and financial applications
- Advanced Computing and Algorithms
- Numerical methods in inverse problems
- Approximation Theory and Sequence Spaces
- Metal Forming Simulation Techniques
- Quantum, superfluid, helium dynamics
- Machine Learning in Materials Science
- Energy Harvesting in Wireless Networks
- Advanced Welding Techniques Analysis
- Genome Rearrangement Algorithms
- Model Reduction and Neural Networks
- Algorithms and Data Compression
- Welding Techniques and Residual Stresses
- Nonlinear Partial Differential Equations
- Electric Power System Optimization
- Optimal Power Flow Distribution
- Contact Mechanics and Variational Inequalities
- Context-Aware Activity Recognition Systems
- Risk and Portfolio Optimization
- Microgrid Control and Optimization
- Genomics and Phylogenetic Studies
- Iterative Methods for Nonlinear Equations
Wuhan University of Science and Technology
2024
State Grid Corporation of China (China)
2023
Dalian University of Technology
2015-2017
Hamiltonian matrix prediction is pivotal in computational chemistry, serving as the foundation for determining a wide range of molecular properties. While SE(3) equivariant graph neural networks have achieved remarkable success this domain, their substantial cost-driven by high-order tensor product (TP) operations-restricts scalability to large systems with extensive basis sets. To address challenge, we introduce SPHNet, an efficient and scalable network that incorporates adaptive sparsity...
In this paper, we investigate properties of sample average approximation (SAA) solution mapping for a parametric stochastic complementarity problem, where the underlying function is expected value function.In particular, using notion cosmic deviation, which originated from concept distance in variational analysis, develop sufficient conditions consistency Aubin property SAA problems, namely if map true problem has around some point, then so does reference point with probability one when size...
The rapid growth of photovoltaic (PV) installations has resulted in an imbalance between generation and demand, leading to difficulties accommodating utilizing the generated electricity effectively. To address this issue, paper proposes energy storage sharing-based coordinating operation framework for multiple PV stations fully utilization enhance overall efficiency PV. In study, we consider operating costs PV, propose a strategy coordinated based on sharing. Furthermore, solve model using...
In the context of electricity market reform and increasing integration renewable energy, service provider (ESP) has assumed role intermediaries in transactions. However, unpredictability energy uncertainty load demand expose ESPs to risks during spot To address these issues, this study first develops an operation model for ESP under Subsequently, leveraging credibility theory, price are treated as fuzzy variables, a chance constraint is formulated multiple uncertainties. The aims maximize...