兰州大学机构库

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A combined short-term wind speed forecasting model based on CNN–RNN and linear regression optimization considering error 期刊论文
RENEWABLE ENERGY, 2022, 卷号: 200, 页码: 788-808
Authors:  Duan, Jikai;  Chang, Mingheng;  Chen, Xiangyue;  Wang, Wenpeng;  Zuo, Hongchao;  Bai, Yulong;  Chen, Bolong
Favorite  |    Submit date:2023/01/03
Convolution  Convolutional neural networks  Electric power transmission networks  Electric power utilization  Empirical mode decomposition  Errors  Forecasting  Linear regression  Smart power grids  Speed  Wind power  Wind speed  Combined forecasting  Combined forecasting model  Convolutional neural network  Empirical Mode Decomposition  Forecasting models  Linear regression network  Neural network model  Short-term wind speed forecasting  Wind speed  Wind speed forecasting  
Short term wind speed forecasting for wind farms using an improved autoregression method 会议论文
Proceedings - 2011 International Conference of Information Technology, Computer Engineering and Management Sciences, ICM 2011, Nanjing, Jiangsu, China, September 24, 2011 - September 25, 2011
Authors:  Zhang, Wen-Yu;  Zhao, Zeng-Bao;  Han, Ting-Ting;  Kong, Ling-Bin;  Zhang, W.-Y.
Favorite  |    Submit date:2017/01/18
Wind effects  Electric utilities  Forecasting  Information technology  Management science  Regression analysis  Wind power  Autoregression  Mean filter  Short-term wind speed forecasting  Wave forms  Wind farm  Wind farms  Wind speed  Wind speed forecasting  Wind speed prediction  
Wind speed forecasting based on model selection, fuzzy cluster, and multi-objective algorithm and wind energy simulation by Betz's theory 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 193
Authors:  Zhang, Shenghui;  Wang, Chen;  Liao, Peng;  Xiao, Ling;  Fu, Tonglin
Favorite  |    Submit date:2022/11/08
Wind effects  Data mining  Genetic algorithms  Speed  Time series  Weather forecasting  Wind farm  Wind speed  Electric power generation  Electric utilities  Fuzzy clustering  Electric power transmission networks  Electric power system interconnection  Betz theory  Fuzzy c-means clusters  Model Selection  Model selection strategy  Modified multi-objective algorithm  Multi objective algorithm  Wind energy simulation  Wind farm  Wind speed forecasting  Wind speed time series  
Decomposition-based wind speed forecasting model using causal convolutional network and attention mechanism 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 223
Authors:  Shang, Zhihao;  Chen, Yao;  Chen, Yanhua;  Guo, Zhiyu;  Yang, Y(杨裔)
Favorite  |    Submit date:2023/07/18
Convolution  Convolutional neural networks  Deep learning  Forecasting  Multilayer neural networks  Network layers  Time series  Wind power  Wind speed  Attention mechanisms  Convolutional neural network  Empirical Mode Decomposition  Ensemble empirical mode decomposition  Forecasting models  Performance  Time-series data  Wind speed data  Wind speed forecasting  Wind speed time series  
Decomposition-based wind speed forecasting model using causal convolutional network and attention mechanism 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 223
Authors:  Shang, Zhihao;  Chen, Yao;  Chen, Yanhua;  Guo, Zhiyu;  Yang, Y(杨裔)
Favorite  |    Submit date:2023/05/25
Convolution  Convolutional neural networks  Deep learning  Forecasting  Multilayer neural networks  Network layers  Time series  Wind power  Wind speed  Attention mechanisms  Convolutional neural network  Empirical Mode Decomposition  Ensemble empirical mode decomposition  Forecasting models  Performance  Time-series data  Wind speed data  Wind speed forecasting  Wind speed time series  
Research and application of a Model selection forecasting system for wind speed and theoretical power generation in wind farms based on classification and wind conversion 期刊论文
Energy, 2024, 卷号: 293
Authors:  Huang, Xiaojia;  Wang, Chen;  Zhang, Shenghui
Favorite  |    Submit date:2024/04/02
Deep learning  Electric utilities  Forecasting  Learning algorithms  Wind farm  Wind speed  Wind turbines  Forecasting system  Model Selection  Multi-objective optimization algorithm  Multi-objectives optimization  Optimization algorithms  Power- generations  Theoretical power generation  Wind farm  Wind speed  Wind speed forecasting  
A novel model based on multiple input factors and variance reciprocal: application on wind speed forecasting 期刊论文
SOFT COMPUTING, 2022, 卷号: 26, 期号: 17, 页码: 8857-8877
Authors:  Shang, Zhihao;  Li, M(李敏);  Chen, Yanhua;  Li, CH(李彩虹);  Yang, Y(杨裔);  Li, L(李廉)
Favorite  |    Submit date:2022/04/20
Artificial neural networks  Grey relational analysis  Wind speed forecasting  Variance reciprocal method  Combined model  Backpropagation  Factor analysis  Forecasting  Optimization  Speed  Wind  Wind power  Combined modeling  Input vector  Neural-networks  Regression neural networks  Weather factors  Wind speed  Wind speed data  Elman neural networks  
Wind speed forecasting based on hybrid model with model selection and wind energy conversion 期刊论文
RENEWABLE ENERGY, 2022, 卷号: 196, 页码: 763-781
Authors:  Wang, Chen;  Zhang, Shenghui;  Liao, Peng;  Fu, Tonglin
Favorite  |    Submit date:2022/11/08
Electric power system interconnection  Electric utilities  Energy conversion  Forecasting  Speed  Wind farm  Wind speed  Energy planning  Hybrid model  Model Selection  Percentage error  Power  Power conversion  Wind energy conversion  Wind farm  Wind power conversion  Wind speed forecasting  Model selection  Hybrid models  
An effective wind speed prediction model combining secondary decomposition and regularised extreme learning machine optimised by cuckoo search algorithm 期刊论文
WIND ENERGY, 2022, 卷号: 25, 期号: 8, 页码: 1406-1433
Authors:  Zhang, Ye;  Zhang, WY(张文煜);  Guo, Zhenhai;  Zhang, SW(张述文)
Favorite  |    Submit date:2022/07/01
ensemble empirical mode decomposition  regularised extreme learning machine  secondary decomposition  wavelet packet transform  wind speed prediction  Data handling  Forecasting  Learning algorithms  Machine learning  Optimization  Speed  Wavelet analysis  Wavelet decomposition  Wind  Wind power  Cuckoo search algorithms  Cuckoo searches  Decomposition technique  Empirical Mode Decomposition  Ensemble empirical mode decomposition  Regularized extreme learning machine  Secondary decomposition  Speed prediction models  Wavelet packet transforms  Wind speed prediction  Learning systems  Knowledge acquisition  Wind speed  
A novel model based on multiple input factors and variance reciprocal: application on wind speed forecasting 期刊论文
SOFT COMPUTING, 2022, 卷号: 26, 期号: 17, 页码: 8857-8877
Authors:  Shang, Zhihao;  Li, Min;  Chen, Yanhua;  Li, Caihong;  Yang, Yi;  Li, Lian
Favorite  |    Submit date:2023/01/03
Factor analysis  Backpropagation  Elman neural networks  Forecasting  Wind power  Speed  Optimization  Combined modeling  Grey relational analysis  Input vector  Neural-networks  Regression neural networks  Variance reciprocal method  Weather factors  Wind speed  Wind speed data  Wind speed forecasting