A5085838045- Satellite Communication Systems
- Space Satellite Systems and Control
- Electric Power System Optimization
- Smart Grid Energy Management
- Integrated Energy Systems Optimization
- Optimal Power Flow Distribution
- Adaptive Control of Nonlinear Systems
- Fault Detection and Control Systems
- Pluripotent Stem Cells Research
- Microgrid Control and Optimization
- Opportunistic and Delay-Tolerant Networks
- Advanced Optical Network Technologies
- CRISPR and Genetic Engineering
- Age of Information Optimization
- Genomics and Chromatin Dynamics
- Control Systems and Identification
- Power System Reliability and Maintenance
- Traffic control and management
- Gaze Tracking and Assistive Technology
- Reinforcement Learning in Robotics
- Military Defense Systems Analysis
- Electrical Fault Detection and Protection
- Energy Efficiency and Management
- Transportation and Mobility Innovations
- Guidance and Control Systems
National University of Defense Technology
2020-2025
Shanghai Jiao Tong University
2019-2024
Guangxi Normal University
2024
Nanjing University of Aeronautics and Astronautics
2018-2024
Fujian Electric Power Survey & Design Institute
2021-2023
Shanghai First Maternity and Infant Hospital
2020-2023
National University of Singapore
2023
Data Storage Institute
2023
Télécom Paris
2023
Shenzhen University
2023
Earth observation satellite task scheduling research plays a key role in space-based remote sensing services. An effective strategy can maximize the utilization of resources and obtain larger objective profits. In this paper, inspired by success deep reinforcement learning optimization domains, deterministic policy gradient algorithm is adopted to solve time-continuous problem. Moreover, an improved graph-based minimum clique partition proposed for preprocessing clustering phase considering...
Due to the uncertainty and fluctuation of distributed generation (DG) load, operation active distribution network (ADN) is affected by multi-dimension factors which are described massive scenarios. Efficient accurate screening severely restricted scenarios (SRSs) has become a new challenge in ADN planning. In this paper, novel bi-level coordinated planning model combines short-time-scale problem with long-time-scale proposed. At upper level, demand response (DR) resource, an effective...
Recently, mega Low Earth Orbit (LEO) Satellite Network (LSN) systems have gained more and attention due to low latency, broadband communications global coverage for ground users. One of the primary challenges LSN with inter-satellite links is routing strategy calculation maintenance, constellation scale dynamic network topology feature. In order seek an efficient strategy, a Q-learning-based distributed Routing scheme LSNs (QRLSN) proposed in this paper. To achieve end-to-end delay traffic...
ABSTRACT A swarm of unmanned aerial vehicles (UAVs) has been widely used in both military and civilian fields due to its advantages high cost‐effectiveness, task efficiency strong survivability. However, there are still challenges flocking control UAV swarms complex environments with various obstacles. In this paper, we propose a obstacle avoidance method for swarms, which is called willingness (WCM). Specifically, an adaptive risk (ARAW) mechanism, each ARAW coefficient representing ARAW....
This study deeply mines the correlation between reading habits and depressive tendency of university students based on data set from library records mental health questionnaires results. paper compares different text categorization algorithms including kNN, SVM naive Bayesian classifier accuracy time-consuming under sample sizes. Ultimately, we construct a book using classification algorithm polynomial model, reaches to 0.823. To build psychological prediction this uses linear regression...
A small subgroup of embryonic stem cells (ESCs) exhibit molecular features similar to those two-cell embryos (2C). However, it remains elusive whether 2C-like and 2C share epigenetic features. Here, we map the genome-wide profiles histone H3K4me3 H3K27me3 in cells. We found that majority genes inherit their status from ESCs. Among showing a switch methylation during transitions, only number acquire 2C-embryo signatures. In contrast, broad domains display extensive loss Most differentially...
Deep-space exploration missions are known as particularly challenging with high risk and cost, they operate in environments uncertainty. The fault of robot can even cause the whole mission to failure. One solutions is use swarm robots collaboratively. Compared a single capable robot, less sophisticated cooperate on multiple complex tasks. Reinforcement learning (RL) has made variety progress multi-agent system autonomous cooperative control domains. In this paper, we construct collaborative...
With the development of active distribution networks (ADNs), more uncertainties need to be considered in network planning (DNP), which increases difficulties scenario selection. Given this background, a multi-stage bi-level DNP model is proposed considering coordinated operation distributed generation (DG), energy storage system (ESS) and controllable load (CL). In model, novel selection strategy for restricted scenarios based on shadow price reduce complexity ease computational burden...
This paper presents a space mission planning tool, which was developed for LEO (Low Earth Orbit) observation satellites. The tool is focused on two-phase strategy with clustering preprocessing and planning, where an improved algorithm applied, hybrid that combines the genetic simulated annealing (GA–SA) given discussed. Experimental simulation studies demonstrate GA–SA clique partition based graph theory model exhibits higher fitness value better optimization performance reliability than GA...
Multi-beam antenna and beam hopping technologies are an effective solution for scarce satellite frequency resources. One of the primary challenges accompanying with Multi-Beam Satellites (MBS) is efficient Dynamic Resource Allocation (DRA) strategy. This paper presents a learning-based Hybrid-Action Deep Q-Network (HADQN) algorithm to address sequential decision-making optimization problem in DRA. By using parameterized hybrid action space, HADQN makes it possible schedule pattern allocate...
Multiple chromatin modifiers associated with H3K9me3 play important roles in the transition from embryonic stem cells to 2-cell (2C)-like cells. However, it remains elusive how is remodeled and its association totipotency. Here, we integrated transcriptome profiles conduct a detailed comparison of 2C embryos 2C-like Globally, highly preserved dynamics within gene locus not expression change during transition. Promoter-deposited plays non-repressive activation genes In contrast, transposable...
With the ever-increased installed capacity of renewable energy generation (REG) units, power ramp REG has become a common event, introducing an operational risk to system. In order quantify risk, this paper proposes novel method for assessing systems with high proportion energy, taking into account REG. Firstly, weather regionalization is proposed divide region system multiple areas, and then data from stations in these areas will be utilized forecast probabilistically. Moreover, assessment...
The uncertainty of generation and load increases in the transmission network power market. Considering congestion risk caused by various uncertainties network, optimal operation strategies under operational scenarios are decided, aiming for maximum social benefit evaluation degree scenario congestion. Then, a screening method major is proposed based on shadow price theory. With goal maximizing difference between benefits investment maintenance costs lines scenarios, multi-stage planning...
The configuration of energy storage in the integrated system (IES) can effectively improve consumption rate renewable and flexibility operation. Due to high cost long cycle physical construction, is limited. dynamic characteristics heating network demand-side response (DR) realize space-time transfer energy. Although there no actual equipment it plays a similar role be considered as virtual IES planning. In this paper, multi-scenario planning model considering DR proposed. To make full use...
Urgent improvement is required for power network planning due to the reform of energy system and advancement construction. The requirements have gradually changed from "keeping safety reducing efficiency" "improving both efficiency". Combined with construction process integrated Energy Internet, multiple resources including "source-grid-load-storage" can be fully utilized carry out planning, which help improve control ability economic level operation. In this context, progress revolution at...
In order to solve the problem of how efficiently control a large-scale swarm Unmanned Aerial Vehicle (UAV) system, which performs complex tasks with limited manpower in non-ideal environment, this paper proposes parallel UAV method. The key technology is establish one-to-one artificial system corresponding aerial on ground. This focuses computational experiments algorithm for establishment, including data processing, model identification, verification and state prediction. Furthermore,...
Since China is still in the early stage of electricity market reform, some mature demand response (DR) mechanisms cannot be applied to China's market. Based on consumer loyalty program study marketing, an incentive-based (IBDR) mechanism for residential consumers presented, which named as score-based incentive (SIDR). A bilevel SIDR model built optimize profit retailer considering active behaviors. An optimal presented describe different behaviors residents with power-score and monetary...
In this paper, for an Low-Earth Orbit (LEO) satellite network with inter-satellite links, a routing optimization method is developed in the case of stochastic link failure. First, discrete-time strategy used to acquire several static topological graphs during cycle. Based on regarding failure, constraint model established that constructs task revenue, switching times and cost as indicators. Then, improved Genetic Algorithm based A* proposed optimize topology under model. particular, reduce...
Under the background of renewable-dominated electric power system construction, penetration rate low-carbon and renewable distributed generation (DG) in distribution network is increasing, which has changed form operation mode network. To deal with output fluctuation high DG operations, it necessary to evaluate acceptance capacity DG. The correct evaluation can realize secure, economic configuration In this paper, an method considering carbon emission proposed. Firstly, a multi-objective...