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会议论文 [19]
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Reverse jet parameters study on aerodynamic thermal uncertainty of a blunt body
期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2020, 卷号: 107, 页码: 106260
作者:
Zhang W
;
Wang S
;
Wang Q
;
Ju SJ(鞠胜军)
;
Yan C
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/02/09
Aerodynamic thermal
Opposing jets
Parametric sensitivity analysis
Uncertainty quantification
Analysis of Variance
Non-Intrusive Polynomial Chaos
A critical review on the flow structure studies of Ranque–Hilsch vortex tubes [Examen critique des études de structure d’écoulement des tubes vortex de Ranque-Hilsch]
期刊论文
International Journal of Refrigeration, 2019, 卷号: 104, 页码: 51-64
作者:
Guo, X.
;
Zhang, B.
;
Liu, B.
;
Xu, X.
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/02
Flow structure
Numerical methods
Reviews
Tubes (components), Critical review
Energy separations
Field studies
Non-intrusive measurements
Reverse flow
Stagnation points
Strong turbulence, Vortex flow
Estimation of Target Appliance Electricity Consumption Using Background Filtering
期刊论文
IEEE Transactions on Smart Grid, 2019, 卷号: Vol.10 No.6, 页码: 5920-5929
作者:
Gaochen Cui
;
Bo Liu
;
Wenpeng Luan
;
Yixin Yu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/21
Data aggregation
Neural networks
Active filters
Home appliances
Hidden Markov models
Training
Non-intrusive load monitoring
deep neural network
convolutional neural network
training data
background filtering
Achieving differential privacy against non-intrusive load monitoring in smart grid: A fog computing approach
期刊论文
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2019, 卷号: 31, 期号: 22
作者:
Cao, Hui
;
Liu, Shubo
;
Wu, Longfei
;
Guan, Zhitao
;
Du, Xiaojiang
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/05
differential privacy
fog computing
internet of things
non-intrusive load monitoring
smart grid
Optimal Strategy to Select Load Identification Features by Using a Particle Resampling Algorithm
期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 13
作者:
He, Hengjing
;
Lin, Xiaohong
;
Xiao, Yong
;
Qian, Bin
;
Zhou, Hong
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
resampling
feature extraction
non-intrusive load monitoring
On Non-Intrusive Coexistence of eLAA and Legacy WiFi Networks
其他
2019-01-01
作者:
Chen, Qimei
;
Ding, Zhi
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/05
LAA
CTS-to-Self
coexistence
non-intrusive
resource sharing
Achieving differential privacy against non-intrusive load monitoring in smart grid: A fog computing approach
期刊论文
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2019, 卷号: 31, 期号: 22
作者:
Cao, Hui
;
Liu, Shubo
;
Wu, Longfei
;
Guan, Zhitao
;
Du, Xiaojiang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
differential privacy
fog computing
internet of things
non-intrusive load monitoring
smart grid
Uncertainty quantification of detonation based on non-intrusive polynomial chaos [基于非嵌入多项式混沌的爆轰不确定度量化]
期刊论文
Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics, 2019, 卷号: 36, 期号: 5, 页码: 672-677
作者:
Liang X.
;
Wang R.-L.
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/11
Cylindrical test
Detonation wave
Non-intrusive polynomial chaos
Tensor product
Uncertainty quantification
Adaptive non-intrusive reduced order modeling for compressible flows
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 397
作者:
Yu, Jian
;
Yan, Chao
;
Jiang, Zhenhua
;
Yuan, Wu
;
Chen, Shusheng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Non-intrusive reduced order modeling
Compressible flow
Gaussian process
Surrogate error model
Sensitivity analysis
A Non-intrusive Appliances Load Monitoring Method Based on Hourly Smart Meter Data
会议论文
Changsha, China, October 18-20, 2019
作者:
Song CH(宋纯贺)
;
Wang ZF(王忠锋)
;
Liu, Shuji
;
Xu, Libo
;
Zhou, Dapeng
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/08/01
Smart grid
Non-intrusive appliances load monitoring
Peak load
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