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科研机构
兰州理工大学 [3]
数学与系统科学研究院 [1]
自动化研究所 [1]
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期刊论文 [5]
发表日期
2022 [5]
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A novel short-term load forecasting method based on mini-batch stochastic gradient descent regression model
期刊论文
Electric Power Systems Research, 2022, 卷号: 211
作者:
Lizhen, Wu
;
Yifan, Zhao
;
Gang, Wang
;
Xiaohong, Hao
收藏
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浏览/下载:21/0
  |  
提交时间:2022/07/20
Batch data processing
Big data
Electric power plant loads
Forecasting
Gradient methods
K-means clustering
Regression analysis
Stochastic models
Big data analyze
Distributed parallel computing
Load forecasting
Map-reduce
Map-reduce framework
Mini-batch stochastic gradient descent
Regression modelling
Short term load forecasting
Stochastic gradient descent
Stochastic gradient descent algorithm
Critical plane-based fatigue life model under multiaxial random loading
期刊论文
International Journal of Structural Integrity, 2022, 卷号: 13, 期号: 5, 页码: 845-856
作者:
Wang, Jie
;
Liu, Jianhui
;
Hua, Feilon
;
He, Yingbao
;
Wang, Xuexue
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  |  
浏览/下载:20/0
  |  
提交时间:2022/09/22
Fatigue damage
Forecasting
Hardening
Titanium alloys
Additional hardening
Critical plane method
Critical planes
Cycle counting
Fatigue life prediction
Life predictions
Multiaxial
Random load
Random loading
Strain cycles
A stacking-based short-term wind power forecasting method by CBLSTM and ensemble learning
期刊论文
Journal of Renewable and Sustainable Energy, 2022, 卷号: 14, 期号: 4
作者:
Wang, Nier
;
Li, Zhanming
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浏览/下载:28/0
  |  
提交时间:2022/09/22
Data handling
Decision trees
Electric load dispatching
Machine learning
Weather forecasting
Wind farm
Ensemble learning
Forecasting methods
Large amounts
Multi-model combination
Processing capacities
Short-term wind power forecasting
Stacking framework
Stackings
Times series
Black swan event small-sample transfer learning (BEST-L) and its case study on electrical power prediction in COVID-19
期刊论文
APPLIED ENERGY, 2022, 卷号: 309, 页码: 10
作者:
Hu, Chenxi
;
Zhang, Jun
;
Yuan, Hongxia
;
Gao, Tianlu
;
Jiang, Huaiguang
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浏览/下载:14/0
  |  
提交时间:2022/07/25
Transfer learning
Black swan event
Small-sample learning
COVID-19
Load forecasting
An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting
期刊论文
APPLIED ENERGY, 2022, 卷号: 306, 页码: 16
作者:
Yang, Dongchuan
;
Guo, Ju-E
;
Sun, Shaolong
;
Han, Jing
;
Wang, Shouyang
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浏览/下载:20/0
  |  
提交时间:2022/04/02
Short-term load forecasting
Bivariate empirical mode decomposition
Decomposition-ensemble approach
Reconstruction
Bayesian optimization
Long short-term memory network
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