Robust short-term prediction of wind turbine power based on combined neural networks-Reference-Cited by-同舟云学术

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Robust short-term prediction of wind turbine power based on combined neural networks

Published:2020-11 Issue:6 Volume:12 Page:063305
ISSN:1941-7012
Container-title:Journal of Renewable and Sustainable Energy
language:en
Short-container-title:Journal of Renewable and Sustainable Energy

Author:

Etemadi Mostafa¹,Abdollahi Amir¹²^ORCID,Rashidinejad Masoud¹²^ORCID,Aalami Habib Allah³

Affiliation:

1. Department of Electrical Engineering, Sirjan Branch, Islamic Azad University, Sirjan, Iran

2. Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran

3. Department of Electrical Engineering, Eyvanekey University, Tehran, Iran

Publisher

AIP Publishing

Subject

Renewable Energy, Sustainability and the Environment

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0019002

Reference32 articles.

1. The impact of wind field spatial heterogeneity and variability on short-term wind power forecast errors

2. A Hybrid Accurate Model for Tidal Current Prediction

3. A hybrid fuzzy-PEM stochastic framework to solve the optimal operation management of distribution feeder reconfiguration considering wind turbines

4. Prediction of ultra-short-term wind power based on BBO-KELM method

5. Modeling Uncertainty in Tidal Current Forecast Using Prediction Interval-Based SVR

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on Generation Wind Onshore Forecasting Method Based on Enhanced Long Short-Term Memory Hybrid Network Model;2024 4th International Conference on Electronics, Circuits and Information Engineering (ECIE);2024-05-24

2. Predicting wind power generation using machine learning and CNN-LSTM approaches;Wind Engineering;2022-07-21

3. Proof-of-concept of a reinforcement learning framework for wind farm energy capture maximization in time-varying wind;Journal of Renewable and Sustainable Energy;2021-07

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