A5006701006- Advanced Measurement and Metrology Techniques
- Smart Grid Energy Management
- Internet Traffic Analysis and Secure E-voting
- Microgrid Control and Optimization
- Integrated Energy Systems Optimization
- Smart Grid and Power Systems
- Sparse and Compressive Sensing Techniques
- Power Systems and Renewable Energy
- Optical measurement and interference techniques
- Image and Signal Denoising Methods
- Power Systems and Technologies
- Advanced Image Processing Techniques
- Mechanical Engineering and Vibrations Research
- Cryptography and Data Security
- Big Data Technologies and Applications
- Caching and Content Delivery
- Advanced Control Systems Optimization
- Cloud Data Security Solutions
- Peer-to-Peer Network Technologies
- Privacy-Preserving Technologies in Data
- High-Voltage Power Transmission Systems
- Engineering Structural Analysis Methods
- Optimal Power Flow Distribution
- Network Security and Intrusion Detection
- Photoacoustic and Ultrasonic Imaging
State Grid Corporation of China (China)
2025
China Electronics Technology Group Corporation
2024
Nanjing University of Aeronautics and Astronautics
2024
Shanghai Electric (China)
2024
Tsinghua–Berkeley Shenzhen Institute
2024
Tsinghua University
2024
Puyang Vocational and Technical College
2024
North China Electric Power University
2013-2023
China Electric Power Research Institute
2018-2023
Beijing Institute of Technology
2017-2022
Users store rapidly increasing amount of data into the cloud. Cloud storage service is often characterized as having a large set and few deletes. Hosting on conventional system consisting servers powerful CPUs managed by either key-value (KV) or file not efficient. First, demand capacity grows much faster than that CPU power, existing server configurations can lead to under-utilization inadequate storage. Second, durability paramount importance be limited, protection scheme relying...
Grating interferometers highly valued for high resolution, straightforward benchmark and insensitivity to environmental disturbances, have become one of the most mainstream methods ultra-precision positioning. Traditional heterodyne grating which use a dual-frequency orthogonally polarized laser source suffer nanometer-level periodic nonlinear error due frequency polarization mixing, thus becoming incompetent undertake sub-nanometer measurement. Based on design two separated beams with small...
Power load forecasting is an important part of power system planning and the foundation economic operation. It very for The LSTM forecast model used to Get more accurate prediction results. According time series rule load, established in this paper. A verification experiment has been done reflect effect method. Experimental results show that accuracy increased by using model.
In this paper, a distributed micro-grid planning model has been presented to optimize the locating and unit capacities within generation (DG) micro-grid, in which wind power photovoltaic are taken into consideration simultaneously. Optimal balance is achieved through minimizing cost-effectiveness rate under given financial constraints. Both Elitism Genetic Algorithm (EGA) Particle Swarm Optimization (PSO) employed for comparison study with optimizing DG optimization model. The results have...
Traditional Unmanned aerial vehicles (UAV) path planning methods have poor practical properties as they rarely take mission constraints like terminal angle constraint into consideration. A bidirectional searching ant colony optimization algorithm was proposed to solve above problem without losing efficiency. The workspace of UAV modeled by applying grid method and each labeled. Then colonies start from two positions near the starting point destination simultaneously following predetermined...
It is significant for power system stability to improve the operation flexibility of grid-connected units. Such improvement has always been a hot topic, especially coal-fired In recent decades, it become increasingly urgent and challenging as large-scale fluctuant renewable energy connected grid. Boiler-turbine coordinated control strategy (CCS), which employed perform unit load according automatic generation (AGC), slow ramp rate in general on account large delay inertia boiler, so...
Privacy leakage is becoming more and serious in enterprise information management. To solve the poor security problems, by introducing short signatures into managements, this paper proposes a novel direct anonymous attestation scheme. The scheme based on signature scheme, which applied member joining phases. It simplifies signing verification process of certificates reduces its computing costs. Under hypothesis Decision Diffie–Hellman q-Strong Diffie-Hellman difficult meets provable trusted...
Cloud computing has emerged as a promising paradigm for the Internet of Things (IoT) and Cyber-Physical-Social Systems (CPSS). However, problem how to ensure security data transmission storage in CPSS is key issue address. We need protect confidentiality privacy users' identity during process CPSS. In order avoid personal information leakage from IoT devices processing transmitting, we propose certificateless encryption scheme, conduct analysis under assumption Computational...
The quality of threaded connections has a great impact on the reliability, precision and stability product. At present, tension miniature fastener in instruments can not be measured controlled quantitatively. Therefore, measurement control method for screws is proposed, tightening process studied. Taking M2 as experimental objects, influence times nut factor degree dispersion titanium alloy screw are analyzed, technological to improve accuracy Torque Method discussed.
Traditional compressive imaging reconstruction is often based on an iterative approach, which costs much time. To deal with the issue, a couple of groups have used deep learning for to ensure low running time good performance. However, excessive dependence data and network structure also creates lack flexibility interpretation. Such networks are inapplicable when compression ratios high. In order solve these issues, we study end-to-end Joinput-CiNet (joint input net). We use tailored...
The iterative hard-threshold algorithm has recently been proposed to handle sparse regularisation problems arising in compressed sensing and other signal processing problems. is attractive owing its simplicity; however, it converges slowly. An accelerated of this method based on momentum adaptive learning rate. Experiments with the reconstruction show effectiveness algorithm.
Reasonably optimizing the operation structure of power grid, ensuring quality and safety to greatest extent, meeting user-side demand are primary tasks grid operation.In recent years, thanks deepening construction transformation distribution networks in various places promotion typical wiring networks, point tend be reasonable, which makes it possible transfer loads on a large scale through medium voltage network.In addition, implementation automation continuous improvement smart have...
The alarms of power grid control center is an important data basis for monitors to identify monitoring events, but a large number invalid and redundant information seriously affects the analysis judgment anomalies or accidents, thus reducing efficiency network threatening security grid. In this paper, we use time-delay, decision tree hash technology filter with frequent actions, automatically restore repetition. experimental results show that our optimization scheme can improve effectiveness...