A5041710135- Energy Load and Power Forecasting
- Wind Energy Research and Development
- Wind Turbine Control Systems
- Advanced Wireless Communication Techniques
- Electric Power System Optimization
- Advanced Thermoelectric Materials and Devices
- Solar Radiation and Photovoltaics
- Smart Grid and Power Systems
- Power Systems and Technologies
- Semiconductor materials and interfaces
- Advanced MIMO Systems Optimization
- Power Systems and Renewable Energy
- Photovoltaic System Optimization Techniques
- Wireless Communication Networks Research
- Electric Motor Design and Analysis
- Thermochemical Biomass Conversion Processes
- Advanced Decision-Making Techniques
- Zeolite Catalysis and Synthesis
- Advanced Algorithms and Applications
- Machine Fault Diagnosis Techniques
- Icing and De-icing Technologies
- Blind Source Separation Techniques
- Advanced Computational Techniques and Applications
- Integrated Energy Systems Optimization
- Grey System Theory Applications
North China University of Water Resources and Electric Power
2014-2025
Shenyang Institute of Engineering
2023
China University of Mining and Technology
2007-2022
Sichuan University
2012-2021
Shanghai Electric (China)
2020
Chengdu University
2019
Tsinghua University
2011-2015
North China Electric Power University
2012-2015
Zhengzhou University
2011
Shandong University
2005-2007
With large-scale wind power connected to the grid, accurate short-term forecasting has become a key technology for safe, economic grid operation. Therefore, and uncertainty analysis method based on FCM-WOA-ELM-GMM was proposed. Fuzzy C-means (FCM) used cluster numerical weather prediction (NWP) farm data, data points with similar meteorological information are classified into one class. Using rapid convergence high accuracy of whale optimization algorithm (WOA), input weight hidden layer...
Accurate forecasting of photovoltaic (PV) power is great significance for the safe, stable, and economical operation grids. Therefore, a day-ahead (PPF) uncertainty analysis method based on WT-CNN-BiLSTM-AM-GMM proposed in this paper. Wavelet transform (WT) used to decompose numerical weather prediction (NWP) data into frequency with time information, which eliminates influence randomness volatility information accuracy. A convolutional neural network (CNN) deeply mine seasonal...
GSH and pH dual-responsive camptothecin polymeric prodrugs combined doxorubicin for synergistic drug delivery to highly improved selectivity synergy benefiting from good long-term stability, better internalization sensitive dual-responsibility.
Accurate interval forecasting of wind power is crucial for ensuring the safe, stable, and cost-effective operation grids. In this paper, we propose a hybrid deep learning model day-ahead forecasting. The begins by utilizing Gaussian mixture (GMM) to cluster daily data with similar distribution patterns. To optimize input features, feature selection (FS) method applied remove irrelevant data. empirical wavelet transform (EWT) then employed decompose both numerical weather prediction (NWP)...
Catalytic fast pyrolysis of sewage sludge was conducted considering the effects temperature, atmospheres and catalysts on carbon nitrogen distributions using a fixed-bed reactor. H2 atmosphere gave lowest selectivity solid products highest gaseous yield over HZSM-5 (HZ) at same temperature compared to Ar steam. Higher led an increase in decrease solids. increased light aromatics (LAs), whereas steam reduced generation LAs. Over 0.5Ni-HZ, LAs 11.4%, 1.6% obtained from noncatalytic SS....
The application of the large-capacity energy storage and heat devices in an integrated system with a high proportion wind power penetration can improve flexibility accommodation capacity system. However, efficiency cost flexible resource should also be taken into consideration when improving new capacity. Based on these considerations, authors try to construct joint optimal scheduling model for day-ahead that considers flexibility. supplies will modeled separately, which enables universal...
In this paper, a method that uses ground-penetrating radar (GPR) and the adaptive particle swarm support vector machine (SVM) is proposed for detecting recognizing hidden layer defects in highways. Three common road features, namely cracks, voids, subsidence, were collected using imaging. Image segmentation was performed on acquired images. Original features extracted from thresholded binary images compressed kl algorithm. The SVM classification algorithm used condition classification. For...
Accurate forecasting of ultra-short-term time series wind speeds (UTSWS) is important for improving the efficiency and safe stable operation turbines. To address this issue, study proposes a VMD-AOA-GRU based method UTSWS forecasting. The proposed utilizes variational mode decomposition (VMD) to decompose speed data into temporal components with different frequencies effectively extract high-frequency features. arithmetic optimization algorithm (AOA) then employed optimize hyperparameters...
Abstract Silicon‐added and modulation‐doped higher manganese silicide (HMS, MnSi 1.7 ) films have been prepared on glass substrates by magnetron‐sputtering of 1.85 , Si, Al targets. Silicon‐addition modulation‐doping are used to enhance the Seebeck coefficient reduce electrical resistivity, respectively. Raman spectra indicate that silicon‐added film consists two phases, crystalline silicon. It is found has a larger ( S ), but resistivity ρ as well. Consequently, thermoelectric power factor...
This paper presents a new and improved method that ant colony optimization (ACO) algorithm is combined with the support vector regression for band selection. The applied to prediction research of wheat grain hardness, tries detect feasibility forecasting ability. optimized selection characteristic wave key link near infrared (NIR) hyperspectral analysis technology hardness. Experimental results showed eleven sub-intervals were selected from thirty spectral intervals by algorithm, including...
Abstract CAL−B (Lipase B from Candida antarctica ) catalyzed aza‐Michael addition of a set aniline compounds with acrylates under mild conditions was described. A systematic study allowed to determine the appropriate solvent, enzyme loading, reaction temperature and time. In order speculate verify its mechanism, wild‐type three mutants (S105 A, H224 I189 A) were expressed. Some control experiments demonstrated active site responsible for enzymatic process, in which Ser105 His224 played...