A Novel Hybrid Short-Term Wind Power Prediction Framework Based on Singular Spectrum Analysis and Deep Belief Network Utilized Improved Adaptive Genetic Algorithm

Mapping Intimacies ◽

10.1109/iai53119.2021.9619284 ◽

2021 ◽

Author(s):

Weiru Yuan ◽

Zhenhao Tang ◽

Bing Bu ◽

Shengxian Cao

Keyword(s):

Genetic Algorithm ◽

Spectrum Analysis ◽

Singular Spectrum Analysis ◽

Adaptive Genetic Algorithm ◽

Power Prediction ◽

Belief Network ◽

Singular Spectrum ◽

Wind Power Prediction

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A short-term hybrid wind power prediction model based on singular spectrum analysis and temporal convolutional networks

Journal of Renewable and Sustainable Energy ◽

10.1063/5.0007003 ◽

2020 ◽

Vol 12 (5) ◽

pp. 056101 ◽

Author(s):

Yang Zhao ◽

Li Jia

Keyword(s):

Prediction Model ◽

Spectrum Analysis ◽

Singular Spectrum Analysis ◽

Power Prediction ◽

Convolutional Networks ◽

Model Based ◽

Singular Spectrum ◽

Wind Power Prediction

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Novel Multi-Step Short-Term Wind Power Prediction Framework Based on Chaotic Time Series Analysis and Singular Spectrum Analysis

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2017.2694705 ◽

2018 ◽

Vol 33 (1) ◽

pp. 590-601 ◽

Author(s):

Nima Safari ◽

C. Y. Chung ◽

G. C. D. Price

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Spectrum Analysis ◽

Singular Spectrum Analysis ◽

Chaotic Time Series ◽

Power Prediction ◽

Wind Power Prediction ◽

Chaotic Time Series Analysis

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Genetic algorithm-piecewise support vector machine model for short term wind power prediction

2010 8th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2010.5554305 ◽

2010 ◽

Author(s):

Jie Shi ◽

Yongping Yang ◽

Peng Wang ◽

Yongqian Liu ◽

Shuang Han

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Support Vector Machine Model ◽

Support Vector ◽

Power Prediction ◽

Machine Model ◽

Wind Power Prediction

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Short-term wind power prediction based on genetic algorithm to optimize RBF neural network

2016 Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2016.7531170 ◽

2016 ◽

Author(s):

Pengfei Guo ◽

Zhiyuan Qi ◽

Wei Huang

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Rbf Neural Network ◽

Power Prediction ◽

Wind Power Prediction

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Short-term local prediction of wind speed and wind power based on singular spectrum analysis and locality-sensitive hashing

Journal of Modern Power Systems and Clean Energy ◽

10.1007/s40565-018-0398-0 ◽

2018 ◽

Vol 6 (2) ◽

pp. 317-329 ◽

Author(s):

Ling LIU ◽

Tianyao JI ◽

Mengshi LI ◽

Ziming CHEN ◽

Qinghua WU

Keyword(s):

Spectrum Analysis ◽

Singular Spectrum Analysis ◽

Locality Sensitive Hashing ◽

Singular Spectrum ◽

Local Prediction

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Forecasting model for wind power integrating least squares support vector machine, singular spectrum analysis, deep belief network, and locality‐sensitive hashing

Wind Energy ◽

10.1002/we.2425 ◽

2020 ◽

Vol 23 (2) ◽

pp. 235-257 ◽

Author(s):

Arslan Habib ◽

Rabeh Abbassi ◽

Andrés Julián Aristizábal ◽

Abdelkader Abbassi

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Spectrum Analysis ◽

Singular Spectrum Analysis ◽

Locality Sensitive Hashing ◽

Support Vector ◽

Forecasting Model ◽

Belief Network ◽

Singular Spectrum

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Short-Term Local Prediction of Wind Power Based on Singular Spectrum Analysis and Self-Organizing Maps

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/366/1/012015 ◽

2018 ◽

Vol 366 ◽

pp. 012015 ◽

Author(s):

T Y Ji ◽

L Liu ◽

D Y Hong ◽

M S Li ◽

Q H Wu

Keyword(s):

Spectrum Analysis ◽

Singular Spectrum Analysis ◽

Self Organizing Maps ◽

Singular Spectrum ◽

Local Prediction ◽

Self Organizing

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Short-Term Wind Power Prediction for Wind Turbine via Kalman Filter based on JIT Modeling

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.135.81 ◽

2015 ◽

Vol 135 (1) ◽

pp. 81-89 ◽

Author(s):

Tomoki Ishikawa ◽

Takaaki Kojima ◽

Toru Namerikawa

Keyword(s):

Kalman Filter ◽

Wind Turbine ◽

Power Prediction ◽

Wind Power Prediction

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A Short-Term Regional Wind Power Prediction Method Based on XGBoost and Multi-stage Features Selection

2020 IEEE 3rd Student Conference on Electrical Machines and Systems (SCEMS) ◽

10.1109/scems48876.2020.9352249 ◽

2020 ◽

Author(s):

Wenze Li ◽

Xiaosheng Peng ◽

Kai Cheng ◽

Hongyu Wang ◽

Qiyou Xu ◽

...

Keyword(s):

Prediction Method ◽

Features Selection ◽

Power Prediction ◽

Multi Stage ◽

Wind Power Prediction

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Short-Term Wind Power Prediction Based on Principal Component Analysis and Elman Artificial Neural Networks

2017 4th International Conference on Information Science and Control Engineering (ICISCE) ◽

10.1109/icisce.2017.146 ◽

2017 ◽

Author(s):

Shaung Hu ◽

Ke-Jun Li

Keyword(s):

Neural Networks ◽

Principal Component Analysis ◽

Artificial Neural Networks ◽

Principal Component ◽

Component Analysis ◽

Power Prediction ◽

Wind Power Prediction ◽

Artificial Neural

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