A5077565006- Advanced Graph Theory Research
- Limits and Structures in Graph Theory
- Smart Grid and Power Systems
- High-Voltage Power Transmission Systems
- Power System Optimization and Stability
- HVDC Systems and Fault Protection
- Power Systems and Renewable Energy
- Power System Reliability and Maintenance
- Graph theory and applications
- Power Systems and Technologies
- Neural Networks Stability and Synchronization
- Advanced Causal Inference Techniques
- Graph Labeling and Dimension Problems
- Advanced Computational Techniques and Applications
- Energy Load and Power Forecasting
- Distributed Control Multi-Agent Systems
- Stability and Control of Uncertain Systems
- Interconnection Networks and Systems
- Complex Network Analysis Techniques
- Markov Chains and Monte Carlo Methods
- graph theory and CDMA systems
- Topological and Geometric Data Analysis
- Complexity and Algorithms in Graphs
- Vehicle Routing Optimization Methods
- Random Matrices and Applications
Center for Drug Evaluation and Research
2022-2025
United States Food and Drug Administration
2022-2025
Pepperdine University
2022-2025
North China Electric Power University
2011-2024
China Electric Power Research Institute
2011-2024
MCC Huatian Engineering and Technology Corporation
2020-2024
Chengdu Military General Hospital
2024
Chinese People's Liberation Army
2024
Ningxia University
2019-2023
University of Science and Technology Beijing
2020-2022
A feature selection algorithm based on random forest and recursive elimination is proposed in this paper, which can extract the key subset of transient stability assessment. Firstly, weighted adopted to pay special attention unstable samples, constitute only a very small minority power system operation samples. Secondly, combined with strategy used determine most reasonable threshold select important features. The that distinguishes whether or not determined by change OOB error rate....
Internet of vehicles is a promising area related to D2D communication and the Things. We present novel perspective on vehicular communications social vehicle swarms, study analyze socially aware with assistance an agent-based model intended reveal hidden patterns behind superficial data. After discussing its components (its agents, environments, rules), we introduce supportive technology methods, deep reinforcement learning, privacy preserving data mining, sub-cloud computing in order detect...
Partially observed confounder data pose a major challenge in statistical analyses aimed to inform causal inference using electronic health records (EHRs). While analytic approaches such as imputation are available, assumptions on underlying missingness patterns and mechanisms must be verified. We develop toolkit streamline missing diagnostics guide choice of based meeting necessary assumptions.
Studies on the Petrol Station Replenishment Problem (PSRP) have many challenges because of limitations in real-world PSRP, including diverse oil products, various vehicle models, multiple compartments each vehicle, a finite set vehicles, restricted tank capacities petrol stations, and preparation time cost for discharge. To address those problems, this paper proposes novel PSRP model considering following realistic scenarios: has is allowed trips; vehicles are heterogeneous; stations hard...
Abstract Multiple imputation (MI) models can be improved with auxiliary covariates (AC), but their performance in high-dimensional data remains unclear. We aimed to develop and compare MI (HDMI) methods using structured natural language processing (NLP)-derived AC studies partially observed confounders. conducted a plasmode simulation acute kidney injury as outcome simulated 100 cohorts null treatment effect, incorporating creatinine labs, atrial fibrillation (AFib), other...
Objective: Partially observed confounder data pose challenges to the statistical analysis of electronic health records (EHR) and systematic assessments potentially underlying missingness mechanisms are lacking. We aimed provide a principled approach empirically characterize missing processes investigate performance analytic methods. Methods: Three empirical sub-cohorts diabetic SGLT2 or DPP4-inhibitor initiators with complete information on HbA1c, BMI smoking as confounders interest (COI)...
Transient stability assessment (TSA) based on machine learning techniques is a classical problem of classification. In this paper, new transient model using the weighted random forest (WRF) proposed. Random forest, which runs fast and can scale to very high dimensional datasets, one most popular methods applied TSA after faults occurred. However, in actual operation modern power system, unstable samples constitute only small minority cases. Besides, traditional algorithm does not work well...
During power grid cascading failure, the operating point changes frequently, resulting in a mismatch or inaccuracy of online pre-decision making emergency control strategy. To solve this problem, an system stability decisionmaking and method based on super-real-time simulation is presented paper. A decision-making developed which three main operation modes, offline pre-decision-making, real-time control, are all coordinated. verify method, ADPSS (advanced digital simulator) used to simulate...
Nowadays, with the rapid development of B2C e-commerce and popularity online shopping, Web storages huge number product reviews comment by customers.A large made it difficult for manufacturers or potential customers to track comments suggestions that made.This paper presents a method extracting emotional elements containing objects words their tendencies from based on mixed model.First we constructed conditional random fields extract elements, lead-in semantic word meaning as features...
The fast and accurate dynamic frequency prediction of power grid after disturbance contributes to formulate corresponding emergency control strategy prevent system from crashing. Current physical or data methods for has the contradiction between computation speed, accuracy, reliability in practical application. In this context, a physical-data combined methodology based on adaptive neuro-fuzzy inference (ANFIS) is proposed. An improved average (ASF) response equivalent model applied...
For transient stability analysis, the direct method runs fast but with poor accuracy due to over-simplification of component models; time-domain simulation is accurate time-consuming and thus not suitable for online application.In this paper, results Potential Energy Boundary Surface (PEBS) applied on examples actual system calculation are analyzed, range error discussed.Via complementarity method, a new hybrid proposed: in critical clearing time (CCT), result used as initial value then...