A5068975659- Energy Load and Power Forecasting
- Wind Energy Research and Development
- Solar Radiation and Photovoltaics
- Photovoltaic System Optimization Techniques
- solar cell performance optimization
- Geophysics and Sensor Technology
- Phytochemical Studies and Bioactivities
- Advanced Materials and Mechanics
- Smart Grid and Power Systems
- Central Venous Catheters and Hemodialysis
- Magnetic Field Sensors Techniques
- Venous Thromboembolism Diagnosis and Management
- Power Systems and Renewable Energy
- Traditional Chinese Medicine Analysis
- Wind Turbine Control Systems
- Natural product bioactivities and synthesis
- Electrical Fault Detection and Protection
- Image and Signal Denoising Methods
- Electric Power System Optimization
- Remote Sensing and LiDAR Applications
- Advanced Sensor and Energy Harvesting Materials
- Acute Ischemic Stroke Management
- Inertial Sensor and Navigation
- Dielectric materials and actuators
North China Electric Power University
2025
State Grid Corporation of China (China)
2023
State Key Laboratory of Silkworm Genomic Biology
2022
Southwest University
2022
Tongji University
2018-2020
Chongqing University
2013
China Three Gorges University
2012
There exist plenty of outliers in power curve wind turbines, which is not conducive to the follow-up information mining. Improving data quality turbines has great engineering value. According spatial distribution characteristics and shapes, are divided into four types: bottom curve, mid top stacked outliers, as well scattered around curve. Based on outlier characteristics, this paper proposes a method process cleaning based change point grouping algorithm quartile algorithm, followed by...
This paper proposes a short-term wind and photovoltaic power forecasting framework considering time-frequency decomposition based on bidirectional long memory networks. First, the seasonal trend using loess is applied to original data for time domain decomposition, obtaining trend, seasonal, residual components. Then, component undergoes variational mode further extract features of different frequencies. Next, maximum information coefficient used select features, which highly correlated with...
Snowfall has a significant impact on photovoltaic (PV) power prediction. The sudden drop of PV output directly affects the balance and threatens safety stability system. Thus it is great engineering value to improve accuracy prediction snowy days. In this paper, influence snowfall snowmelt process studied by analyzing actual power, predicted meteorological data. Then correction method based irradiance loss model proposed. Analysis results show that proposed can effectively reduce maximum...
Reineckia carnea has been used to treat several diseases in folk remedies. RCE-4 isolated from plants of the family Liliaceae, but its biological activity not yet reported. In present study, we found that exhibited potent cytotoxicity tested human cancer cell lines, and CaSki line was most sensitive with an IC50 3.37 µM. Thus, presented apoptosis-inducing effect on cervical cells investigated relevant mechanisms. Based observations using transmission electron microscopy, RCE-4-treated...
The accurate calculation and characteristic analysis of wind speed correlation (WSC) is the basis farm equivalent modeling, power prediction other advanced applications. It well known that WSC depends on quality raw data, turbines related to spatial, time meteorological conditions. However, researches statistical time/meteorological characteristics original data improvement for are rarely carried out. This paper reviews redefines concept connotation WSC. On this basis, a general process...
The paper presents an overview of the traditional methods to obtain wind parameters such as speed, direction and air density. After analyzing turbines’ arrangements communication characteristics correlation operation data between turbines, proposes a novel recombination-sensing method route “measuring–correlating–sharing–predicting–verifying” (MCSPV) explores its feasibility. analysis undertaken in shows that speed instrument fixed on turbine nacelle is simple economical. However, it...
Accurate prediction of wind direction can improve energy utilisation and extend the life turbine yaw system effectively. The ‘measurement–sharing–correlation–prediction–verification’ (MSCPV) parameter sensing technology based on network provides a new perspective for prediction, in which screening correlated turbines is key step. In this study, calculation method spatial correlation proposed, are selected according to strength. study first analyses limitations traditional principle MSCPV...
In the field of oil directional logging measurement, aiming at problem that traditional fluxgate magnetometer can't make measurement effectively in interference magnetic or nonmagnetic environment, a type real-time and all-attitude well-hole trajectory continuous inclinometer based on inertial technology is developed. This system uses fiber optic gyro MEMS accelerometer. Aiming openly published azimuth resolving mathematical model has some flaws, angle deduced combining space coordinates...
The accurate prediction of wind direction is an effective way to improve energy utilization and extend the life turbine yaw system. "Measure-Share-Correlate- Predict-Verify" (MSCPV) parameter sensing technology based on network provides a new perspective for prediction, in which screening correlated turbines key step. This paper proposes calculation method spatial correlation describes its process detail. are selected target according calculations. first introduces principle MSCPV concept...
Objective To explore the use of supporting guide wire to exclude PICC catheter refolding malposition,and reduce number resetting and average time resetting,while reducing mechanicalness phlebitis incidence symptomatic thrombosis. Methods A total 3 513 patients who received from September 2016 August 2018 were enrolled. The divided into control group (1 757 cases) observation 756 by random table method.The was treated with conventional B-ultrasound guided modified Sadinger technique...