A Hybrid Forecasting Model Based on Modified Bat Algorithm and ELM: A Case Study for Wind Speed Forecasting

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/153/2/022001 ◽

2018 ◽

Vol 153 (2) ◽

pp. 022001

Author(s):

Yujia Zhang ◽

Long Chen

Keyword(s):

Bat Algorithm ◽

Forecasting Model ◽

Wind Speed Forecasting ◽

Model Based ◽

Hybrid Forecasting ◽

Modified Bat Algorithm

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Research and application of a hybrid forecasting model based on simulated annealing algorithm: A case study of wind speed forecasting

Journal of Renewable and Sustainable Energy ◽

10.1063/1.4940408 ◽

2016 ◽

Vol 8 (1) ◽

pp. 015501 ◽

Author(s):

Ping Jiang ◽

Yingjie Ge ◽

Chen Wang

Keyword(s):

Simulated Annealing ◽

Simulated Annealing Algorithm ◽

Forecasting Model ◽

Wind Speed Forecasting ◽

Model Based ◽

Hybrid Forecasting ◽

Annealing Algorithm

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A hybrid wind speed forecasting model based on phase space reconstruction theory and Markov model: A case study of wind farms in northwest China

Energy ◽

10.1016/j.energy.2015.08.039 ◽

2015 ◽

Vol 91 ◽

pp. 556-572 ◽

Author(s):

Yun Wang ◽

Jianzhou Wang ◽

Xiang Wei

Keyword(s):

Phase Space ◽

Markov Model ◽

Northwest China ◽

Phase Space Reconstruction ◽

Forecasting Model ◽

Wind Speed Forecasting ◽

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A novel compound wind speed forecasting model based on the back propagation neural network optimized by bat algorithm

Environmental Science and Pollution Research ◽

10.1007/s11356-019-07402-1 ◽

2019 ◽

Vol 27 (7) ◽

pp. 7353-7365 ◽

Author(s):

Yanbin Cui ◽

Chenchen Huang ◽

Yanping Cui

Keyword(s):

Neural Network ◽

Back Propagation ◽

Bat Algorithm ◽

Back Propagation Neural Network ◽

Forecasting Model ◽

Wind Speed Forecasting ◽

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The study and application of a novel hybrid forecasting model – A case study of wind speed forecasting in China

Applied Energy ◽

10.1016/j.apenergy.2015.01.038 ◽

2015 ◽

Vol 143 ◽

pp. 472-488 ◽

Author(s):

Jian-Zhou Wang ◽

Yun Wang ◽

Ping Jiang

Keyword(s):

Forecasting Model ◽

Wind Speed Forecasting ◽

Hybrid Forecasting

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Hybrid forecasting model-based data mining and genetic algorithm-adaptive particle swarm optimisation: a case study of wind speed time series

IET Renewable Power Generation ◽

10.1049/iet-rpg.2015.0010 ◽

2016 ◽

Vol 10 (3) ◽

pp. 287-298 ◽

Author(s):

Jianzhou Wang ◽

Fanyong Zhang ◽

Feng Liu ◽

Jianjun Ma

Keyword(s):

Data Mining ◽

Genetic Algorithm ◽

Time Series ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Forecasting Model ◽

Model Based ◽

Hybrid Forecasting

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Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm

Energy Conversion and Management ◽

10.1016/j.enconman.2017.11.049 ◽

2018 ◽

Vol 156 ◽

pp. 525-541 ◽

Author(s):

Hui Liu ◽

Zhu Duan ◽

Feng-ze Han ◽

Yan-fei Li

Keyword(s):

Error Correction ◽

Ensemble Method ◽

Forecasting Model ◽

Correction Algorithm ◽

Wind Speed Forecasting ◽

Model Based ◽

Error Correction Algorithm

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A hybrid wind speed forecasting model based on a decomposition method and an improved regularized extreme learning machine

Energy Procedia ◽

10.1016/j.egypro.2019.01.079 ◽

2019 ◽

Vol 158 ◽

pp. 217-222 ◽

Author(s):

Na Sun ◽

Jianzhong Zhou ◽

Guangbiao Liu ◽

Zhongzheng He

Keyword(s):

Extreme Learning Machine ◽

Decomposition Method ◽

Forecasting Model ◽

Wind Speed Forecasting ◽

Model Based ◽

Learning Machine

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Development of Wind Speed Forecasting Model Based on the Weibull Probability Distribution

2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring ◽

10.1109/cdciem.2011.333 ◽

2011 ◽

Author(s):

Ruigang Wang ◽

Wenyi Li ◽

B. Bagen

Keyword(s):

Probability Distribution ◽

Forecasting Model ◽

Wind Speed Forecasting ◽

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A Novel Combined Model Based on an Artificial Intelligence Algorithm—A Case Study on Wind Speed Forecasting in Penglai, China

Sustainability ◽

10.3390/su8060555 ◽

2016 ◽

Vol 8 (6) ◽

pp. 555 ◽

Author(s):

Feiyu Zhang ◽

Yuqi Dong ◽

Kequan Zhang

Keyword(s):

Artificial Intelligence ◽

Combined Model ◽

Wind Speed Forecasting ◽

Model Based ◽

Intelligence Algorithm ◽

Artificial Intelligence Algorithm

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A hybrid forecasting model based on outlier detection and fuzzy time series – A case study on Hainan wind farm of China

Energy ◽

10.1016/j.energy.2014.08.064 ◽

2014 ◽

Vol 76 ◽

pp. 526-541 ◽

Author(s):

Jianzhou Wang ◽

Shenghua Xiong

Keyword(s):

Time Series ◽

Outlier Detection ◽

Wind Farm ◽

Fuzzy Time Series ◽

Forecasting Model ◽

Model Based ◽

Hybrid Forecasting

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