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科研机构
兰州大学 [123]
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期刊论文 [74]
会议论文 [49]
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2016 [19]
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共123条,第1-10条
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专题:兰州大学
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Air quality early-warning system for cities in China
期刊论文
ATMOSPHERIC ENVIRONMENT, 2017, 卷号: 148, 页码: 239-257
作者:
Xu, YZ
;
Yang, WD
;
Wang, JZ
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2017/05/08
Air quality early-warning systems
Hybrid forecasting model
Data preprocessing
Bio-inspire optimization algorithm
Fuzzy evaluation
Hybrid Forecasting Approach Based on GRNN Neural Network and SVR Machine for Electricity Demand Forecasting
期刊论文
ENERGIES, 2017, 卷号: 10, 期号: 1-1
作者:
Li, WD
;
Yang, X
;
Li, H
;
Su, LL
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2017/05/09
electricity demand forecasting
ensemble empirical mode decomposition (EEMD)
generalized regression neural network (GRNN)
support vector machine (SVM)
Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting
期刊论文
APPLIED SOFT COMPUTING, 2016, 卷号: 49, 页码: 663-675
作者:
Yang, Yi
;
Chen, Yanhua
;
Wang, Yachen
;
Li, Caihong
;
Li, Lian
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2017/01/16
Forecasting
Backpropagation
Electric power utilization
Energy resources
Evolutionary algorithms
Fuzzy inference
Fuzzy neural networks
Optimization
Adaptive network based fuzzy inference system
ANFIS
Back propagation neural networks
Combined forecasting
diff-SARIMA
Electricity demand forecasting
Optimization algorithms
Seasonal autoregressive integrated moving averages
Research and Application of a Hybrid Forecasting Model Based on Data Decomposition for Electrical Load Forecasting
期刊论文
ENERGIES, 2016, 卷号: 9, 期号: 1-12
作者:
Dong, YQ
;
Ma, XJ
;
Ma, CC
;
Wang, JZ
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2017/05/09
electrical load forecasting
data decomposition
genetic algorithm
generalized regression neural network
Improved v -Support vector regression model based on variable selection and brain storm optimization for stock price forecasting
期刊论文
Applied Soft Computing Journal, 2016, 卷号: 49, 页码: 164-178
作者:
Wang, Jianzhou
;
Hou, Ru
;
Wang, Chen
;
Shen, Lin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2017/01/12
Stock price index
Brain storm optimization
v-Support vector regression
Data pre-analysis
Forecasting validity
Wind Energy Potential Assessment and Forecasting Research Based on the Data Pre-Processing Technique and Swarm Intelligent Optimization Algorithms
期刊论文
SUSTAINABILITY, 2016, 卷号: 8, 期号: 1-11
作者:
Wang, ZL
;
Wang, C
;
Wu, J
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2017/05/09
wind energy assessment and forecasting
data pre-processing
swarm intelligent optimization
neural network
error evaluation
An incremental electric load forecasting model based on support vector regression
期刊论文
Energy, 2016, 卷号: 113, 页码: 796-808
作者:
Yang, YouLong
;
Zhao, YanJun
;
Zhu, SuLing
;
Che, JinXing
;
Li, YanYing
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2017/01/11
Electric load forecasting
Phase space reconstruction
Support vector regression
Representative data set reconstruction method
Nested particle swarm optimization
Research and application of a hybrid model based on multi-objective optimization for electrical load forecasting
期刊论文
APPLIED ENERGY, 2016, 卷号: 180, 页码: 213-233
作者:
Xiao, LY
;
Shao, W
;
Wang, C
;
Zhang, KQ
;
Lu, HY
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2017/01/12
Short term load forecasting (STLF)
Multi-objective optimization
Hybrid forecasting model
Multi-objective firefly algorithm (MOFA)
A Hybrid Method Based on Singular Spectrum Analysis, Firefly Algorithm, and BP Neural Network for Short-Term Wind Speed Forecasting
期刊论文
ENERGIES, 2016, 卷号: 9, 期号: 1-10
作者:
Gao, YY
;
Qu, C
;
Zhang, KQ
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2017/05/09
hybrid method
short-term wind speed series forecasting
forecasting accuracy
neural network
artificial intelligence
optimization algorithm
Bayesian regularisation neural network based on artificial intelligence optimisation
期刊论文
International Journal of Production Research, 2016, 页码: 1-22
作者:
Yan, Dingqi
;
Zhou, Qi
;
Wang, Jianzhou
;
Zhang, Na
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2017/01/12
Particle swarm optimization (PSO)
Artificial intelligence
Bayesian networks
Financial data processing
Forecasting
Neural networks
Optimization
Time series analysis
Bayesian methods
Bayesian neural networks
Financial time series
K-lines
local weights
Overfitting
Particle swarm optimisation
Prediction algorithms
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