Evaluation of neural network-based methodologies for wind speed forecasting-Reference-Cited by-同舟云学术

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Evaluation of neural network-based methodologies for wind speed forecasting

Published:2019-09 Issue: Volume:78 Page:356-372
ISSN:0045-7906
Container-title:Computers & Electrical Engineering
language:en
Short-container-title:Computers & Electrical Engineering

Author:

Samet Haidar,Reisi Mohammad,Marzbani Fatemeh^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference27 articles.

1. Operation and maintenance methods in solar power Plants.;Hatti,2014

2. Neural network controller for p e m fuel cells;Hatti,2007

3. Review of the use of numerical weather prediction (NWP) models for wind energy assessment;Al-Yahyai;Renewable Sustainable Energy Rev,2010

4. Measure-correlate-predict methods: case studies and software implementation;Thøgersen,2007

5. The forecasting accuracy of major time series methods;Makridakis,1984

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2. Branching Time Series Prediction Method based on CNN and LSTM;2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC);2023-09-15

3. New ridge regression, artificial neural networks and support vector machine for wind speed prediction;Advances in Engineering Software;2023-05

4. Performance of the WRF Model in the Wind Speed Simulation in the Semiarid Region of Northeast Brazil;2022-12-02

5. Mid-to-Long Range Wind Forecast in Brazil Using Numerical Modeling and Neural Networks;Wind;2022-04-22

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