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兰州理工大学 [11]
中国农业科学院 [1]
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会议论文 [6]
期刊论文 [5]
学位论文 [1]
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2018 [3]
2017 [2]
2016 [6]
2015 [1]
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基于深层玻尔兹曼机的风电场异常风速值自适应检测预处理方法
期刊论文
电工技术学报, 2018, 期号: 2018年S1期, 页码: 205-212
作者:
林洁
;
吴布托
;
陈伟
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/11/13
异常值检测
风速序列
深层玻尔兹曼机
经验模态分解
隐马尔科夫模型
Adaptive Detection and Preprocessing Method for Abnormal Wind Speed of Wind Farm Based on Deep Boltzmann Machine
期刊论文
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2018, 卷号: 33, 页码: 205-212
作者:
Lin, Jie
;
Wu, Butuo
;
Chen, Wei
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/11/14
Anomaly detection
Data acquisition
Data handling
Forecasting
Hidden Markov models
Signal processing
Speed
Statistics
Stochastic systems
Wind power
Data acquisition system
Deep boltzmann machines
Empirical Mode Decomposition
Outlier identification
Pre-processing method
Prediction accuracy
Pretreatment methods
Wind speed sequences
风电机组异常数据预处理的分类多模型算法
期刊论文
电力系统及其自动化学报, 2018, 卷号: 30, 期号: 2018年04期, 页码: 137-143
作者:
陈伟
;
吴布托
;
裴喜平
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/11/13
异常数据
数据预处理
4分位法
模糊C均值
风速预测
RBF神经网络
改进Bayesian后验比的异常风速值检测方法
期刊论文
电网与清洁能源, 2017, 期号: 2017年02期, 页码: 104-111+116
作者:
陈伟
;
吴布托
;
裴喜平
;
王懿喆
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/11/13
异常风速值检测
组合预测模型
残差分析
Bayesian后验比
风电机组运行数据中异常值的检测方法
学位论文
2017
作者:
吴布托
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2020/11/05
异常值检测
数据预处理
四分位法
模糊C均值
贝叶斯后验比
经验模态分解
隐马尔科夫
Adaptive detection and correction method for anomalous wind speed
会议论文
19-1#, Jiangong Road, Xi'an, China, October 25, 2016 - October 28, 2016
作者:
Chen, Wei
;
Wu, Butuo
;
Pei, Xiping
;
Yan, Hongqiang
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/11/15
Data acquisition
Forecasting
Hidden Markov models
Interpolation
Radial basis function networks
Stochastic systems
Systematic errors
Wind power
Auto-regressive integrated moving average
Cubic-spline interpolation
Data acquisition system
Empirical Mode Decomposition
Empirical mode decomposition method
Forecasting accuracy
Identification method
Wind speed sequences
Probabilistic load flow calculation in distribution system considering the stochastic characteristic of wind power and electric vehicle charging load
会议论文
19-1#, Jiangong Road, Xi'an, China, October 25, 2016 - October 28, 2016
作者:
Chen, Wei
;
Yan, Hongqiang
;
Pei, Xiping
;
Wu, Butuo
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/11/15
Charging (batteries)
Computational efficiency
Electric load distribution
Electric load flow
Electric power distribution
Intelligent systems
Probability distributions
Stochastic systems
Wind
Wind power
EVCL
Monte Carlo simulation methods
Orthogonal transformations
Probabilistic load flow calculations
SRSM
Stochastic characteristic
Stochastic Response Surface Method (SRSM)
Wind speed
A Quasi Monte Carlo probabilistic load flow method of distribution system containing distributed generation and electric vehicle charging load based on Sobol sequence
会议论文
Xi'an, China, August 10, 2016 - August 13, 2016
作者:
Chen, Wei
;
Yan, Hongqiang
;
Pei, Xiping
;
Wu, Butuo
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/11/15
Charging (batteries)
Distributed computer systems
Distributed power generation
Electric automobiles
Electric load flow
Electric utilities
Intelligent systems
Monte Carlo methods
Photovoltaic cells
Photovoltaic effects
Probability distributions
Solar energy
Stochastic models
Stochastic systems
Electric vehicle charging
Latin hypercube sampling
Latin hypercube sampling methods
Photovoltaic power generation
Probabilistic load flow
Quasi-Monte Carlo
Quasi-Monte Carlo simulation
Stochastic characteristic
Probabilistic Load Flow Calculation in Distribution System Considering the Stochastic Characteristic of Wind Power and Electric Vehicle Charging Load
会议论文
作者:
Chen, Wei
;
Yan, Hongqiang
;
Pei, Xiping
;
Wu, Butuo
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2019/11/15
EVCL
orthogonal transformation
PLF
SRSM
wind speed correlation
A Quasi Monte Carlo Probabilistic Load Flow Method of Distribution System Containing Distributed Generation and Electric Vehicle Charging Load Based on Sobol Sequence
会议论文
作者:
Chen, Wei
;
Yan, Hongqiang
;
Pei, Xiping
;
Wu, Butuo
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/11/15
distributed generation
electric vehicle charging load
probabilistic load flow
Quasi Monte Carlo
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