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科研机构
大连理工大学 [64]
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期刊论文 [64]
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2019 [9]
2018 [16]
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内容类型:期刊论文
专题:大连理工大学
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A mixed integer linear programming model for unit commitment of thermal plants with peak shaving operation aspect in regional power grid lack of flexible hydropower energy
期刊论文
ENERGY, 2019, 卷号: 175, 页码: 618-629
作者:
Feng, Zhong-kai
;
Niu, Wen-jing
;
Wang, Wen-chuan
;
Zhou, Jian-zhong
;
Cheng, Chun-tian
收藏
  |  
浏览/下载:61/0
  |  
提交时间:2019/12/02
Mixed integer linear programming (MILP)
Thermal power plants
Unit commitment
Peak shaving operation
Regional power grid
Warm-plasma catalytic reduction of CO2 with CH4
期刊论文
CATALYSIS TODAY, 2019, 卷号: 330, 页码: 54-60
作者:
Liu, Jing-Lin
;
Li, Zhi
;
Liu, Jian-Hao
;
Li, Kai
;
Lian, Hao-Yu
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/02
Plasma catalysis
Warm plasma
CO2 reduction
Dry reforming
Reverse water gas shift
Comparison of Multiple Linear Regression, Artificial Neural Network, Extreme Learning Machine, and Support Vector Machine in Deriving Operation Rule of Hydropower Reservoir
期刊论文
WATER, 2019, 卷号: 11
作者:
Niu, Wen-Jing
;
Feng, Zhong-Kai
;
Feng, Bao-Fei
;
Min, Yao-Wu
;
Cheng, Chun-Tian
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/02
hydropower reservoir
operation rule derivation
multiple linear regression
artificial neural network
extreme learning machine
support vector machine
dynamic programming
China's large-scale hydropower system: operation characteristics, modeling challenge and dimensionality reduction possibilities
期刊论文
RENEWABLE ENERGY, 2019, 卷号: 136, 页码: 805-818
作者:
Feng, Zhong-kai
;
Niu, Wen-jing
;
Cheng, Chun-tian
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/02
Large-scale hydropower system
Optimal operation
Dimensionality problem
Model dimensionality reduction
China
Dynamic response analysis of aero hydraulic pipeline system under pump fluid pressure fluctuation
期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2019, 卷号: 233, 页码: 1585-1595
作者:
Gao, Pei-xin
;
Zhai, Jing-yu
;
Han, Qing-kai
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/02
Pump pressure fluctuation
dynamic response analysis
hydraulic pipeline
method of characteristics
finite element
Exploring critical factors of green business failure based on Grey-Decision Making Trial and Evaluation Laboratory (DEMATEL)
期刊论文
JOURNAL OF BUSINESS RESEARCH, 2019, 卷号: 98, 页码: 450-461
作者:
Cui, Li
;
Chan, Hing Kai
;
Zhou, Yizhuo
;
Dai, Jing
;
Lim, Jia Jia
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/02
Green business failure
Company life cycle
Grey Decision Making Trial and Evaluation Laboratory (DEMATEL)
Critical factors
Recent advances in EAST physics experiments in support of steady-state operation for ITER and CFETR
期刊论文
NUCLEAR FUSION, 2019, 卷号: 59
作者:
Wan, B. N.
;
Liang, Y.
;
Gong, X. Z.
;
Xiang, N.
;
Xu, G. S.
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  |  
浏览/下载:149/0
  |  
提交时间:2019/12/02
steady state
long pulse
high bootstrap current fraction
tokamak
Operation rule derivation of hydropower reservoir by k-means clustering method and extreme learning machine based on particle swarm optimization
期刊论文
JOURNAL OF HYDROLOGY, 2019, 卷号: 576, 页码: 229-238
作者:
Feng, Zhong-kai
;
Niu, Wen-jing
;
Zhang, Rui
;
Wang, Sen
;
Cheng, Chun-tian
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
Hydropower reservoir
Operation rule derivation
k-Means clustering
Extreme learning machine
Particle swarm optimization
Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm
期刊论文
APPLIED SOFT COMPUTING, 2019, 卷号: 82
作者:
Niu, Wen-jing
;
Feng, Zhong-kai
;
Zeng, Ming
;
Feng, Bao-fei
;
Min, Yao-wu
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2019/12/02
Monthly streamflow prediction
Ensemble empirical mode decomposition (EEMD)
Extreme learning machine (ELM)
Improved gravitational search algorithm (IGSA)
Mutation and selection operators
Hybrid charging scheduling schemes for three-dimensional underwater wireless rechargeable sensor networks
期刊论文
JOURNAL OF SYSTEMS AND SOFTWARE, 2018, 卷号: 146, 页码: 42-58
作者:
Lin, Chi
;
Wang, Kang
;
Chu, Zihao
;
Wang, Kai
;
Deng, Jing
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/02
Underwater wireless rechargeable sensor networks
Charging scheduling
Charging efficiency
Average waiting time
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