Wind speed reconstruction from synoptic pressure patterns using an evolutionary algorithm-Reference-Cited by-同舟云学术

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Wind speed reconstruction from synoptic pressure patterns using an evolutionary algorithm

Published:2012-01 Issue:1 Volume:89 Page:347-354
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Carro-Calvo L.,Salcedo-Sanz S.,Prieto L.,Kirchner-Bossi N.,Portilla-Figueras A.,Jiménez-Fernández S.

Funder

Spanish Ministry of Industry, Tourism and Trading

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference27 articles.

1. Forecast of hourly average wind speed with ARMA models in Navarre (Spain);Torres;Solar Energy,2005

2. Improvement of auto-regressive integrated moving average models using fuzzy logic and artificial neural networks (ANNs);Khashei;Neurocomputing,2009

3. A methodology to generate statistically dependent wind speed scenarios;Morales;Appl Energy,2010

4. ARMA based approaches for forecasting the tuple of wind speed and direction;Erdem;Appl Energy,2011

5. Comprehensive evaluation of ARMA-GARCH(-M) approaches for modeling the mean and volatility of wind speed;Liu;Appl Energy,2011

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1. Reconstruction of missing wind data based on limited wind pressure measurements and machine learning;Physics of Fluids;2024-07-01

2. A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets;Energy Conversion and Management;2020-06

3. Wind Speed Clustering Using Linkage-Ward Method: A Case Study of Khaaf, Iran;GAZI UNIVERSITY JOURNAL OF SCIENCE;2019-09-01

4. A novel wind speed forecasting system based on hybrid data preprocessing and multi-objective optimization;Applied Energy;2018-12

5. A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm;Energy Conversion and Management;2018-05

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