A5100744534- Smart Grid and Power Systems
- Smart Grid Energy Management
- Power Systems and Technologies
- Power Systems Fault Detection
- Electric Vehicles and Infrastructure
- Advanced Battery Technologies Research
- Advanced Wireless Network Optimization
- Energy Load and Power Forecasting
- Power Line Inspection Robots
- High-Voltage Power Transmission Systems
- Advanced Optical Network Technologies
- Power Systems and Renewable Energy
- Urban Transport and Accessibility
- Industrial Technology and Control Systems
- Evacuation and Crowd Dynamics
- Wireless Communication Networks Research
- Building Energy and Comfort Optimization
- IoT and Edge/Fog Computing
- Advanced MIMO Systems Optimization
- Distributed and Parallel Computing Systems
- Infrastructure Resilience and Vulnerability Analysis
- Simulation and Modeling Applications
- Interconnection Networks and Systems
- Aviation Industry Analysis and Trends
- Elevator Systems and Control
Tsinghua University
2010-2025
Army Medical University
2025
Xinqiao Hospital
2025
Lawrence Berkeley National Laboratory
2019-2024
Harbin Institute of Technology
2018-2021
Hikvision (China)
2021
Tianjin University of Traditional Chinese Medicine
2021
Civil Aviation Administration of China
2021
Shanghai Institute of Optics and Fine Mechanics
2021
Chinese Academy of Sciences
2021
System-level simulation has been widely used to evaluate the comprehensive performance of different mobile cellular systems. methodologies for systems have discussed by organizations and institutions. However, framework a unified methodology platform not established. In this article, we propose general Both design structure establishment are studied. Meanwhile, modeling realization various modules related system-level presented. The proposed can be multiple communication fairly. Finally,...
The randomness of user behaviors plays a significant role in electric vehicle (EV) scheduling problems, especially when the power supply for EV equipment (EVSE) is limited. Existing methods do not consider this limitation and assume charging session parameters, such as stay duration energy demand values, are perfectly known, which realistic practice. In paper, based on real-world implementations networked EVSEs University California at Los Angeles campus, we developed predictive framework,...
Appertaining parking lots of public buildings provide a large proportion supply in cities. However, these mainly serve the demands buildings, leading to low utilization ratio spaces. It is therefore required implement shared strategy for lots. In this study, space allocation method (PSAM) at network level proposed allocate demand lot and then space. The users are divided into M-users (users buildings) P-users (public users). analyzed from aspects open window, fee, reservation allocated by...
Deploying charging stations (CSs) catering to the demand from electric vehicles plays an important role in modernizing energy infrastructures. In this paper, a bi-level optimal allocation model for allocating fast CSs is proposed aiming maximize CS investor benefit (upper layer sub-problem) by optimally with coordinated determination of expected efficiency service supply (lower sub-problem). The formulated as performance index terms user satisfaction degree, which mathematically couples...
It is a crucial yet challenging task to ensure commercial load resilience during high-impact, low-frequency extreme events. In this paper, novel safe reinforcement learning (SRL)-based resilient proactive scheduling strategy proposed for buildings (CBs) subject weather deploys the correlation between different CB components with demand response capabilities maximize customer comfort levels while minimizing energy reserve cost. also develops an SRL-based algorithm by combining deep-Q-network...
Abstract Predicting the arrival aircraft's flight time plays a critical role in effectively optimizing and scheduling spatial‐temporal resources terminal airspace. This paper focuses on data‐driven method for predicting time. First, based existing research, feature set is constructed from four aspects: initial state, pressure, sequencing wind information, which are believed to affect significantly. Second, eight widely used models developed predict time, including linear regression models,...
Climate and weather patterns are changing in California across the planet. Extreme events such as wildfires happening more frequently, precipitation has become increasingly variable, heat waves common, temperatures warming. scientists have tracked observed changes since mid-20th century linked them mainly to human activity influence. The activity, including burning of fossil fuels, led a significant release carbon dioxide other greenhouse gases into atmosphere, which disrupts global cycle leads
This study proposes an adaptive fault line detection method based on the improved singular value decomposition (SVD) de‐noising and ideal clustering curve for distribution networks. First, SVD algorithm is introduced to obtain pure transient zero sequence current. Then, fast Fourier transformation employed analyse baseband signal calculate phase differences. After that, if difference values are larger than set threshold, of components proposed; not, 1/4 cycle damping non‐periodic rearranged,...
We developed 1000PPI OLED display based on LTPS to improve the RT and MPRT solve screen door effect. Different pixel circuits including basic 3T1C driving schemes consist of incessant intermittent emission were compared applied achieve key spec for VR applications. studied optical correction Mura improvement TFT stabilization treatment luminance depression optimization.
Ethernet Passive Optical Network (abbreviated as EPON) has gained a lot of attention an effective solution to broadband local access network. While it is very cost-effective solution, some key technologies needed develop, including upstream traffic synchronization. In the direction, EPON multipoint-to-point this paper, we present principle and simulation synchronization, process finding specific delay for every network unit, such that all transmissions will arrive at central office without...
The video streaming technique and 4G LTE networks have been developing at a high speed, while the advancement of battery technology is relatively slow. A lot efforts made on understanding power consumption in general networks, little attention has focused reducing mobile devices for online networks. In this paper, we attempt to develop efficient optimization techniques address problem. It an important also interesting problem, there are many challenges needing be alleviated (e.g.,...
The edge access component of the Internet Vehicles has a high computational rate and energy consumption. This paper proposes distribution offloading algorithm based on deep Q-learning network (DQN) to achieve best latency sustainable scheduling. Firstly, tasks various vehicles are prioritized using analytic hierarchy process (AHP) assign different weights task processing in order establish relationship model. Secondly, by introducing computing DQN, model is established weighted sum as...
Power grid and communication network, which depends on each other to provide proper functionality, are becoming more coupled together. Failure of a fraction nodes in networks may lead failure even cascade failures power grid. Wide area protection is highly dependent communication. The some part wide system will affect the realization function prevent cascading outages result serious consequences. Based Manchester, OPA hidden models considered feature relay protection, an improved model...
Half-wave-length AC transmission technology is getting more and attention due to its excellent characteristics such as large capacity long distance. Traditional current differential protection not applicable for half-wave-length lines because of the influence distributed capacitance current. Even if compensation algorithm considered, still cannot satisfy requirements. Therefore, algorithms which are immune should be used. Travelling wave based on parameter model influenced by in theory, but...
Given the background of electricity market, consumption optimization can reduce consumers' energy cost, and also help to peak load improve accommodation level clean energy. Aiming at solving problem insufficient management their own consumption, a multi-objective model is proposed considering correlation equipment consumption. First, cross-correlation coefficient adopted identify among various based on historical data consumers, significance analyzed by silhouette index. Next, constructed...
β-Ga2O3 crystals have attracted great attention in the fields of photonics and photoelectronics because their ultrawide band gap high thermal conductivity. Here, a pure crystal was successfully grown by optical floating zone (OFZ) method, used as saturable absorber to realize passively Q-switched all-solid-state 1 μm laser for first time. By placing as-grown into resonator Nd:GYAP solid-state laser, pulses at center wavelength 1080.4 nm are generated under output coupling 10%. The maximum...