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科研机构
西安交通大学 [2]
中南大学 [2]
清华大学 [1]
武汉大学 [1]
内容类型
期刊论文 [5]
会议论文 [1]
发表日期
2018 [3]
2015 [2]
2010 [1]
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Experimental Study and Feature Improvement of DC Series Arc Faults with Switching Noise Interference
会议论文
作者:
Chen, Silei
;
Li, Xingwen
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/26
DC series arc faults
interaction analysis
higher electric lowly
switching noises
feature improvement
Faulty feeder detection based on mixed atom dictionary and energy spectrum energy for distribution network
期刊论文
IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 卷号: 12, 页码: 596-606
作者:
Wang, Xiaowei
;
Song, Guobing
;
Chang, Zhongxue
;
Luo, Juan
;
Gao, Jie
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/26
feature extraction
mixed atom dictionary
entropy
transition resistance
iteration numbers
used energy spectrum entropy
correlation coefficient
compensation degrees
wavelet transforms
faulty feeder detection criterion
TZSC waveform
distribution network
waveform similarity
characteristic atom extraction
power distribution faults
data window length
cosine packet
ESE
capacitor switching
faulty feeder detection
information entropy
energy spectrum energy
matching pursuit algorithm
unbalanced load
transient zero-sequence current waveform
Switching impulse discharge voltage prediction of EHV and UHV transmission lines-tower air gaps by a support vector classifier
期刊论文
IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 卷号: 12, 期号: 15
作者:
Qiu, Zhibin
;
Ruan, Jiangjun
;
Jin, Qi
;
Wang, Xuezong
;
Huang, Daochun
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/05
air gaps
learning (artificial intelligence)
feature extraction
support vector machines
discharges (electric)
power transmission lines
poles and towers
prediction theory
overhead line conductors
power engineering computing
feature extraction
machine learning algorithm
electrostatic field distribution
support vector classifier
engineering gap configurations
conductor-tower gaps
high-voltage engineering
electric field simulation
rod-plane gaps
switching impulse discharge voltage prediction model
HV engineering
UHV transmission lines-tower air gaps
EHV transmission lines-tower air gaps
ultraHV transmission lines-tower air gaps
extraHV transmission lines-tower air gaps
SVC
mean absolute percentage errors
external insulation design
Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions
期刊论文
Energy Conversion and Management, 2015, 卷号: 92, 页码: 67-81
作者:
Liu, Hui*
;
Tian, Hong-Qi
;
Li, Yan-Fei
;
Zhang, Lei
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/12/03
AA
Apriori Algorithm
RBF
Radial Basis Functions
SVR
Support Vector Regression
WDF
Weibull Distribution Function
MSM
Markov Switching Model
BI
Bayesian Interface
PM
Persistent Model
AR
Auto Regressive
ANN
artificial neural networks
BSBM
Bayesian Structural Break Model
KRRM
Kernel Ridge Regression Method
ALS
Active Learning Strategies
SAA
Seasonal Adjustment Algorithm
ESM
Exponential Smoothing Method
MLP
Multilayer Perceptron
BP
Back Propagation
KSF
Kalman Short-term Filtering
NWP
Numerical Weather Prediction
GA
Genetic Algorithm
PSO
Particle Swarm Optimization
PCA
Principal Component Analysis
FAC
First-order Adaptive Coefficient
SAC
Second-order Adaptive Coefficient
BT
Bayesian Theory
SBM
Structural Break Modeling
UKF
Unscented Kalman Filter
OFM
Organizing Feature Maps
EMD
Empirical Mode Decomposition
WT
Wavelet Transform
SVM
Support Vector Machine
ARIMA
Auto Regressive Integrated Moving Average
MAS
Multiple Architecture System
MLR
Multiple Linear Regression
Adaboost
Adaptive Boosting
GD-ALR-BP
Gradient Descent with Adaptive Learning Rate Back Propagation
GDM-ALR-BP
Gradient Descent with Momentum and Adaptive Learning Rate Back Propagation
CG-BP-FR
Conjugate Gradient Back Propagation with Fletcher-Reeves Updates
BFGS
Broyden–Fletcher–Goldfarb–Shanno
Wind energy
Wind speed forecasting
Wind speed predictions
Adaboost algorithm
Neural networks
Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks
期刊论文
Applied Energy, 2015, 卷号: 157, 页码: 183-194
作者:
Liu, Hui*
;
Tian, Hong-Qi
;
Liang, Xi-Feng
;
Li, Yan-Fei
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/12/03
ARIMA
Auto Regressive Integrated Moving Average
ANN
Artificial Neural Networks
KF
Kalman Filter
MSM
Markov Switching Model
PCA
Principal Component Analysis
AA
Apriori Algorithm
BT
Bayesian Theory
SBM
Structural Break Modeling
GMCM
Gaussian Mixture Copula Model
NWP
Numerical Weather Prediction
KSF
Kalman Short-term Filtering
HIRLAM
High Resolution Limited Area Model
BP
Back Propagation
RBF
Radial Basis Function
ALE
Adaptive Linear Element
MAS
Multiple Architecture System
MLR
Multiple Linear Regression
MLP
Multi-Layer Perceptron
RBF
Radial Basis Function
SVM
Support Vector Machine
ABA
Ada-boost Algorithm
PSO
Particle Swarm Optimization
FAC
First-order Adaptive Coefficient
SAC
Second-order Adaptive Coefficient
SAA
Seasonal Adjustment Algorithm
ESM
Exponential Smoothing Method
MFNN
Multi-layer Feed-forward Neural Networks
FRR
Fuzzy Rough Regression
ELM
Extreme Learning Machines
MM5
Fifth Generation Mesoscale Model
GNWP
Global Numerical Weather Prediction
EPA
Evolutionary Programming Algorithm
OFM
Organizing Feature Maps
WD
Wavelet Decomposition
WPD
Wavelet Packet Decomposition
NF
Neuro-Fuzzy
ANFIS
Adaptive Neuro-Fuzzy Inference Systems
PM
Persistent Model
UKF
Unscented Kalman Filter
SVR
Support Vector Regression
FEEMD
Fast Ensemble Empirical Mode Decomposition
HM
Hammerstein Model
AR
Auto Regressive
EMD
Empirical Mode Decomposition
SDA
Secondary Decomposition Algorithm
PRWM
Persistent Random Walk Model
IMFs
Intrinsic Mode Functions
EEMD
Ensemble Empirical Mode Decomposition
GD-BP
Gradient Descent Back Propagation
GDM-BP
Gradient Descent with Momentum Back Propagation
GD-ALR-BP
Gradient Descent with Adaptive Learning Rate Back Propagation
GDM-ALR-BP
Gradient Descent with Momentum and Adaptive Learning Rate Back Propagation
CG-BP-FRU
Conjugate Gradient Back Propagation with Fletcher-Reeves Updates
CG-BP-PR
Conjugate Gradient Back Propagation with Polak-Ribiére Update
CG-BP-PBR
Conjugate Gradient Back Propagation with Powell-Beale Restarts
SCG-BP
Scaled Conjugate Gradient Back Propagation
BFGS-BP
Broyden-Fletcher-Goldfarb-Shanno Back Propagation
OSS-BP
One Step Secant Back Propagation
LM-BP
Levenberg Marquardt Back Propagation
MAE
Mean Absolute Error
MAPE
Mean Absolute Percentage Error
RMSE
Root Mean Square Error
Wind speed forecasting
Secondary decomposition algorithm
Wavelet packet decomposition
Fast ensemble empirical mode decomposition
Elman neural networks
C_(60)分子的电子传导和量子流分布研究
期刊论文
2010, 2010
王利光
;
郁鼎文
;
李勇
;
塚田捷
;
WANG Li-guang
;
YU Ding-wen
;
LI Yong
;
Masaru Tsukada
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浏览/下载:1/0
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