Ultra-short term wind power prediction applying a novel model named SATCN-LSTM

Energy Conversion and Management ◽

10.1016/j.enconman.2021.115036 ◽

2021 ◽

pp. 115036

Author(s):

Ling Xiang ◽

Jianing Liu ◽

Xin Yang ◽

Aijun Hu ◽

Hao Su

Keyword(s):

Wind Power ◽

Power Prediction ◽

Short Term ◽

Wind Power Prediction ◽

Novel Model

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

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

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

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

A dynamic adaptive algorithm for statistical up-scaling based short-term wind power prediction of regions

2017 China International Electrical and Energy Conference (CIEEC) ◽

10.1109/cieec.2017.8388524 ◽

2017 ◽

Author(s):

Xiaosheng Peng ◽

Yuzhu Chen ◽

Jianfeng Che ◽

Bo Wang

Keyword(s):

Wind Power ◽

Adaptive Algorithm ◽

Power Prediction ◽

Short Term ◽

Wind Power Prediction ◽

Up Scaling

Short Term Wind Power Prediction Based on Wavelet Transform and BP Neural Network

Green Energy and Networking - Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ◽

10.1007/978-3-030-62483-5_26 ◽

2020 ◽

pp. 245-254

Author(s):

Shuang Zheng ◽

Zhaoju Jia ◽

Ziwei Zhang ◽

Fugang Liu ◽

Long Han

Keyword(s):

Neural Network ◽

Wavelet Transform ◽

Wind Power ◽

Bp Neural Network ◽

Power Prediction ◽

Short Term ◽

Wind Power Prediction

Short-Term Wind Power Prediction Based on Empirical Mode Decomposition and Extreme Learning Machine

Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics ◽

10.2991/emcpe-16.2016.173 ◽

2016 ◽

Author(s):

Jiajia Wu ◽

Changliang Liu

Keyword(s):

Wind Power ◽

Extreme Learning Machine ◽

Empirical Mode Decomposition ◽

Power Prediction ◽

Short Term ◽

Mode Decomposition ◽

Wind Power Prediction ◽

Learning Machine

Short-term Wind Power Prediction Based on Wavelet Feature Arrangement and Convolutional Neural Networks Deep Learning

IEEE Transactions on Industry Applications ◽

10.1109/tia.2021.3106887 ◽

2021 ◽

pp. 1-1

Author(s):

Xiaosheng Peng ◽

Yinhuan Li ◽

Lei Dong ◽

Kai Cheng ◽

Hongyu Wang ◽

...

Keyword(s):

Neural Networks ◽

Deep Learning ◽

Wind Power ◽

Convolutional Neural Networks ◽

Power Prediction ◽

Short Term ◽

Wind Power Prediction

The Study of Short Term Wind Power Prediction Based on MV-LSTM

10.1007/978-981-16-6554-7_106 ◽

2021 ◽

pp. 974-984

Author(s):

Dashuang Li

Keyword(s):

Wind Power ◽

Power Prediction ◽

Short Term ◽

Wind Power Prediction

Short-term wind power prediction using Least-Square Support Vector Machines

IEEE Power and Energy Society Conference and Exposition in Africa: Intelligent Grid Integration of Renewable Energy Resources (PowerAfrica) ◽

10.1109/powerafrica.2012.6498620 ◽

2012 ◽

Cited By ~ 1

Author(s):

Tebello Mathaba ◽

Xiaohua Xia ◽

Jiangfeng Zhang

Keyword(s):

Support Vector Machines ◽

Wind Power ◽

Least Square ◽

Support Vector ◽

Power Prediction ◽

Short Term ◽

Wind Power Prediction ◽

Vector Machines