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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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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An AI-Based Hybrid Forecasting Model for Wind Speed Forecasting

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-70093-9_23 ◽

2017 ◽

pp. 221-230 ◽

Author(s):

Haiyan Lu ◽

Jiani Heng ◽

Chen Wang

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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Research and Application of Hybrid Forecasting Model Based on an Optimal Feature Selection System—A Case Study on Electrical Load Forecasting

Energies ◽

10.3390/en10040490 ◽

2017 ◽

Vol 10 (4) ◽

pp. 490 ◽

Author(s):

Yunxuan Dong ◽

Jianzhou Wang ◽

Chen Wang ◽

Zhenhai Guo

Keyword(s):

Load Forecasting ◽

Forecasting Model ◽

Selection System ◽

Electrical Load ◽

System A ◽

Hybrid Forecasting ◽

Electrical Load Forecasting ◽

Optimal Feature Selection ◽

Optimal Feature

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A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting

Applied Energy ◽

10.1016/j.apenergy.2018.11.012 ◽

2019 ◽

Vol 235 ◽

pp. 786-801 ◽

Author(s):

Ping Jiang ◽

Hufang Yang ◽

Jiani Heng

Keyword(s):

Time Series ◽

Fuzzy Time Series ◽

Multi Objective Optimization ◽

Wind Speed Forecasting ◽

Multi Objective ◽

Hybrid Forecasting ◽

Forecasting System

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A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm

Energy Conversion and Management ◽

10.1016/j.enconman.2018.07.070 ◽

2018 ◽

Vol 173 ◽

pp. 123-142 ◽

Author(s):

Ya-Lan Hu ◽

Liang Chen

Keyword(s):

Differential Evolution ◽

Differential Evolution Algorithm ◽

Forecasting Model ◽

Wind Speed Forecasting ◽

Evolution Algorithm ◽

Lstm Network ◽

Nonlinear Hybrid

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Multi-objective data-ensemble wind speed forecasting model with stacked sparse autoencoder and adaptive decomposition-based error correction

Applied Energy ◽

10.1016/j.apenergy.2019.113686 ◽

2019 ◽

Vol 254 ◽

pp. 113686 ◽

Author(s):

Hui Liu ◽

Chao Chen

Keyword(s):

Error Correction ◽

Forecasting Model ◽

Objective Data ◽

Wind Speed Forecasting ◽

Multi Objective ◽

Adaptive Decomposition ◽

Sparse Autoencoder ◽

Stacked Sparse Autoencoder

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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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