Augmented Convolutional Network for Wind Power Prediction: A New Recurrent Architecture Design with Spatial-temporal Image Inputs

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2021.3063530 ◽

2021 ◽

pp. 1-1

Author(s):

Lilin Cheng ◽

Haixiang Zang ◽

Yan Xu ◽

Zhinong Wei ◽

Guoqiang Sun

Keyword(s):

Wind Power ◽

Architecture Design ◽

Power Prediction ◽

Convolutional Network ◽

Wind Power Prediction ◽

Recurrent Architecture

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A Wind Power Prediction Method Based on Deep Convolutional Network with Multiple Features

Communications in Computer and Information Science - Neural Information Processing ◽

10.1007/978-3-030-36808-1_22 ◽

2019 ◽

pp. 198-206

Author(s):

Shizhan Chen ◽

Bo You ◽

Xuewei Li ◽

Mei Yu ◽

Jian Yu ◽

...

Keyword(s):

Wind Power ◽

Prediction Method ◽

Power Prediction ◽

Convolutional Network ◽

Multiple Features ◽

Wind Power Prediction ◽

Deep Convolutional Network

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Research on architecture design of wind power prediction system

2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) ◽

10.1109/iaeac.2017.8054095 ◽

2017 ◽

Author(s):

Fan Qiang ◽

Wen Xiankui ◽

Lin Chenghui

Keyword(s):

Wind Power ◽

Architecture Design ◽

Prediction System ◽

Power Prediction ◽

Wind Power Prediction

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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 ◽

Cited By ~ 2

Author(s):

Tomoki Ishikawa ◽

Takaaki Kojima ◽

Toru Namerikawa

Keyword(s):

Kalman Filter ◽

Wind Turbine ◽

Wind Power ◽

Power Prediction ◽

Short Term ◽

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):

Wind Power ◽

Power Prediction ◽

Wind Power Prediction ◽

Doppler Sodar

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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):

Wind Power ◽

Prediction Method ◽

Features Selection ◽

Power Prediction ◽

Short Term ◽

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 ◽

Wind Power ◽

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 ◽

Cited By ~ 1

Author(s):

Amin Shokri Gazafroudi ◽

Nooshin Bigdeli ◽

Mostafa Yousefi Ramandi ◽

Karim Afshar

Keyword(s):

Wind Power ◽

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 ◽

Cited By ~ 1

Author(s):

Shaung Hu ◽

Ke-Jun Li

Keyword(s):

Neural Networks ◽

Principal Component Analysis ◽

Artificial Neural Networks ◽

Wind Power ◽

Principal Component ◽

Component Analysis ◽

Power Prediction ◽

Short Term ◽

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):

Wind Power ◽

Power Prediction ◽

Short Term ◽

Wind Power Prediction

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A Multivariate Wind Power Prediction Model Based on Wavelet Transformation Noise Reduction

Proceedings of the 2018 International Conference on Machine Learning Technologies - ICMLT '18 ◽

10.1145/3231884.3231891 ◽

2018 ◽

Author(s):

Xinyue Ji ◽

Mengyao Hu ◽

Xiaoyu Zhang

Keyword(s):

Prediction Model ◽

Noise Reduction ◽

Wind Power ◽

Wavelet Transformation ◽

Power Prediction ◽

Model Based ◽

Wind Power Prediction

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