Artificial Neural Networks for Short-term Wind Power Estimation

Proceedings of the 1st International Conference of Computer Science and Renewable Energies ◽

10.5220/0009776400210025 ◽

2018 ◽

Author(s):

Chaimae Zedak ◽

Abdelaziz Belfqih ◽

Faissal El Mariami ◽

Jamal Boukherouaa ◽

Abdelmajid Berdai ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Power Estimation ◽

Artificial Neural

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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 ◽

Author(s):

Shaung Hu ◽

Ke-Jun Li

Keyword(s):

Neural Networks ◽

Principal Component Analysis ◽

Artificial Neural Networks ◽

Principal Component ◽

Component Analysis ◽

Power Prediction ◽

Wind Power Prediction ◽

Artificial Neural

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Very short-term wind power density forecasting through artificial neural networks for microgrid control

Renewable Energy ◽

10.1016/j.renene.2019.07.067 ◽

2020 ◽

Vol 145 ◽

pp. 1517-1527 ◽

Author(s):

Fermín Rodríguez ◽

Ane M. Florez-Tapia ◽

Luis Fontán ◽

Ainhoa Galarza

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Power Density ◽

Wind Power Density ◽

Density Forecasting ◽

Artificial Neural ◽

Microgrid Control

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Wind power estimation algorithm using artificial neural networks case study: Ereğli

Proceedings of the 2014 6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) ◽

10.1109/ecai.2014.7090183 ◽

2014 ◽

Author(s):

Nurettin Cetinkaya ◽

Hamza Yapici

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Estimation Algorithm ◽

Power Estimation ◽

Artificial Neural

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Determination of the Representative Time Horizons for Short-term Wind Power Prediction by Using Artificial Neural Networks

Energy Sources Part A Recovery Utilization and Environmental Effects ◽

10.1080/15567036.2011.561274 ◽

2014 ◽

Vol 36 (16) ◽

pp. 1800-1809 ◽

Author(s):

E. İzgi ◽

A. Öztopal ◽

B. Yerli ◽

M. K. Kaymak ◽

A. D. Şahin

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Power Prediction ◽

Time Horizons ◽

Wind Power Prediction ◽

Artificial Neural

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Comparison between the short-term observed and long-term estimated wind power density using artificial neural networks. A case study

Renewable Energy and Power Quality Journal ◽

10.24084/repqj09.595 ◽

2011 ◽

pp. 1203-1208

Author(s):

S. Velázquez ◽

J.A. Carta

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Power Density ◽

Wind Power Density ◽

Artificial Neural

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Short-Term Wind Power Forecast Based on Cluster Analysis and Artificial Neural Networks

Advances in Computational Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21501-8_24 ◽

2011 ◽

pp. 191-198 ◽

Author(s):

Javier Lorenzo ◽

Juan Méndez ◽

Modesto Castrillón ◽

Daniel Hernández

Keyword(s):

Neural Networks ◽

Cluster Analysis ◽

Artificial Neural Networks ◽

Wind Power Forecast ◽

Artificial Neural

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Short-Term Wind Power Forecasting Using Artificial Neural Networks for Resource Scheduling in Microgrids

International Journal of Science and Engineering Applications ◽

10.7753/ijsea0503.1005 ◽

2016 ◽

Vol 5 (3) ◽

pp. 144-151 ◽

Author(s):

Abinet Tesfaye ◽

J. H. Zhang ◽

D. H. Zheng ◽

Dereje Shiferaw

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Resource Scheduling ◽

Wind Power Forecasting ◽

Artificial Neural ◽

Power Forecasting

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Comprehensive comparison of artificial neural networks and long short-term memory networks for rainfall-runoff simulation

Physics and Chemistry of the Earth Parts A/B/C ◽

10.1016/j.pce.2021.103026 ◽

2021 ◽

pp. 103026

Author(s):

Ganquan Mao ◽

Meng Wang ◽

Junguo Liu ◽

Zifeng Wang ◽

Kai Wang ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Short Term Memory ◽

Rainfall Runoff ◽

Runoff Simulation ◽

Term Memory ◽

Comprehensive Comparison ◽

Long Short Term Memory ◽

Artificial Neural

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Short Term Hourly Load Forecasting Using Combined Artificial Neural Networks

International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) ◽

10.1109/iccima.2007.133 ◽

2007 ◽

Author(s):

P. Subbaraj ◽

V. Rajasekaran

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Load Forecasting ◽

Artificial Neural

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A comparison of artificial neural networks and support vector machines for short-term load forecasting using various load types

2017 IEEE Manchester PowerTech ◽

10.1109/ptc.2017.7980814 ◽

2017 ◽

Author(s):

Glen Mitchell ◽

Sanjay Bahadoorsingh ◽

Neil Ramsamooj ◽

Chandrabhan Sharma

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Support Vector Machines ◽

Load Forecasting ◽

Support Vector ◽

Vector Machines ◽

Short Term Load Forecasting ◽

Artificial Neural ◽

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