Wind Power Prediction with Machine Learning

Computational Sustainability - Studies in Computational Intelligence ◽

10.1007/978-3-319-31858-5_2 ◽

2016 ◽

pp. 13-29 ◽

Author(s):

Nils André Treiber ◽

Justin Heinermann ◽

Oliver Kramer

Keyword(s):

Machine Learning ◽

Power Prediction ◽

Wind Power Prediction

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Machine learning ensembles for wind power prediction

Renewable Energy ◽

10.1016/j.renene.2015.11.073 ◽

2016 ◽

Vol 89 ◽

pp. 671-679 ◽

Author(s):

Justin Heinermann ◽

Oliver Kramer

Keyword(s):

Machine Learning ◽

Power Prediction ◽

Wind Power Prediction ◽

Learning Ensembles

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Improving wind power prediction with retraining machine learning algorithms

2018 International Workshop on Big Data and Information Security (IWBIS) ◽

10.1109/iwbis.2018.8471713 ◽

2018 ◽

Author(s):

Mariam Barque ◽

Simon Martin ◽

Jeremie Etienne Norbert Vianin ◽

Dominique Genoud ◽

David Wannier

Keyword(s):

Machine Learning ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Power Prediction ◽

Wind Power Prediction

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Machine Learning based short term wind power prediction using a hybrid learning model

Computers & Electrical Engineering ◽

10.1016/j.compeleceng.2014.07.009 ◽

2015 ◽

Vol 45 ◽

pp. 122-133 ◽

Author(s):

Najeebullah ◽

Aneela Zameer ◽

Asifullah Khan ◽

Syed Gibran Javed

Keyword(s):

Machine Learning ◽

Hybrid Learning ◽

Learning Model ◽

Power Prediction ◽

Wind Power Prediction

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Very Short-term Probabilistic Wind Power Prediction Using Sparse Machine Learning and Nonparametric Density Estimation Algorithms

Renewable Energy ◽

10.1016/j.renene.2021.05.123 ◽

2021 ◽

Author(s):

Jiaqing Lv ◽

Xiaodong Zheng ◽

Mirosław Pawlak ◽

Weike Mo ◽

Marek Miśkowicz

Keyword(s):

Machine Learning ◽

Density Estimation ◽

Nonparametric Density Estimation ◽

Power Prediction ◽

Estimation Algorithms ◽

Wind Power Prediction

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Wind Power Prediction Based on Three Machine-Learning Algorithms: Decision Tree, K-Nearest Neighbors and Random Forest

Proceedings of the Fifteenth International Conference on Management Science and Engineering Management - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-79203-9_38 ◽

2021 ◽

pp. 490-499

Author(s):

Tingting Liu ◽

Lurong Fan

Keyword(s):

Machine Learning ◽

Random Forest ◽

Decision Tree ◽

Learning Algorithms ◽

Nearest Neighbors ◽

Machine Learning Algorithms ◽

Power Prediction ◽

K Nearest Neighbors ◽

Wind Power Prediction

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Machine Learning Applications for Load, Price and Wind Power Prediction in Power Systems

2009 15th International Conference on Intelligent System Applications to Power Systems ◽

10.1109/isap.2009.5352820 ◽

2009 ◽

Author(s):

M. Negnevitsky ◽

P. Mandal ◽

A.K. Srivastava

Keyword(s):

Machine Learning ◽

Power Systems ◽

Power Prediction ◽

Wind Power Prediction ◽

Machine Learning Applications

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Wind Power Prediction in Different Months of the Year Using Machine Learning Techniques

2021 IEEE Kansas Power and Energy Conference (KPEC) ◽

10.1109/kpec51835.2021.9446205 ◽

2021 ◽

Author(s):

Kesh Pun ◽

Saurav MS Basnet ◽

Ward Jewell

Keyword(s):

Machine Learning ◽

Machine Learning Techniques ◽

Power Prediction ◽

Learning Techniques ◽

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 ◽

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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