Analysis and Application of the Spatio-Temporal Feature in Wind Power Prediction

Computer Systems Science and Engineering ◽

10.32604/csse.2018.33.267 ◽

2018 ◽

Vol 33 (4) ◽

pp. 267-274

Author(s):

Ruiguo Yu ◽

Zhiqiang Liu ◽

Jianrong Wang ◽

Mankun Zhao ◽

Jie Gao ◽

...

Keyword(s):

Power Prediction ◽

Wind Power Prediction ◽

Spatio Temporal ◽

Temporal Feature

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Spatio-temporal propagation of wind power prediction errors

Wind Energy ◽

10.1002/we.1527 ◽

2012 ◽

Vol 16 (7) ◽

pp. 999-1012 ◽

Author(s):

Robin Girard ◽

Denis Allard

Keyword(s):

Prediction Errors ◽

Power Prediction ◽

Wind Power Prediction ◽

Spatio Temporal

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Very short-term spatio-temporal wind power prediction using a censored Gaussian field

Stochastic Environmental Research and Risk Assessment ◽

10.1007/s00477-017-1435-7 ◽

2017 ◽

Vol 32 (4) ◽

pp. 931-948 ◽

Author(s):

Anastassia Baxevani ◽

Amanda Lenzi

Keyword(s):

Gaussian Field ◽

Power Prediction ◽

Wind Power Prediction ◽

Spatio Temporal

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Spatio-Temporal Wind Power Prediction Using Recurrent Neural Networks

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-70139-4_56 ◽

2017 ◽

pp. 556-563 ◽

Author(s):

Wei Lee Woon ◽

Stefan Oehmcke ◽

Oliver Kramer

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Power Prediction ◽

Wind Power Prediction ◽

Spatio Temporal

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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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Research on wind power prediction based on Doppler Sodar

2020 Chinese Automation Congress (CAC) ◽

10.1109/cac51589.2020.9326699 ◽

2020 ◽

Author(s):

Gao Yang ◽

Shu Xinlei ◽

Liu Baoliang ◽

Sun Wenzhong ◽

Zhao Mingjiang ◽

...

Keyword(s):

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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EALSTM-QR: Interval wind-power prediction model based on numerical weather prediction and deep learning

Energy ◽

10.1016/j.energy.2020.119692 ◽

2020 ◽

pp. 119692

Author(s):

Xiaosheng Peng ◽

Hongyu Wang ◽

Jianxun Lang ◽

Wenze Li ◽

Qiyou Xu ◽

...

Keyword(s):

Deep Learning ◽

Prediction Model ◽

Numerical Weather Prediction ◽

Weather Prediction ◽

Power Prediction ◽

Numerical Weather ◽

Model Based ◽

Wind Power Prediction

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A hybrid model for wind power prediction composed of ANN and imperialist competitive algorithm (ICA)

2014 22nd Iranian Conference on Electrical Engineering (ICEE) ◽

10.1109/iraniancee.2014.6999606 ◽

2014 ◽

Author(s):

Amin Shokri Gazafroudi ◽

Nooshin Bigdeli ◽

Mostafa Yousefi Ramandi ◽

Karim Afshar

Keyword(s):

Hybrid Model ◽

Imperialist Competitive Algorithm ◽

Power Prediction ◽

Competitive Algorithm ◽

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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Short-Term Wind Power Prediction Considering the Influence of Terrain

International Journal of Simulation Systems Science & Technology ◽

10.5013/ijssst.a.17.38.28 ◽

2016 ◽

Author(s):

Guest Editor Manhui Su

Keyword(s):

Power Prediction ◽

Wind Power Prediction

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