Wind speed forecasting based on model selection, fuzzy cluster, and multi-objective algorithm and wind energy simulation by Betz's theory-Reference-Cited by-同舟云学术

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Wind speed forecasting based on model selection, fuzzy cluster, and multi-objective algorithm and wind energy simulation by Betz's theory

Published:2022-05 Issue: Volume:193 Page:116509
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zhang Shenghui,Wang Chen,Liao Peng,Xiao Ling,Fu Tonglin

Funder

National Office for Philosophy and Social Sciences

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference71 articles.

1. Ahmed, A., & Khalid, M. (2017). A nonlinear autoregressive neural network model for short-term wind forecasting.

2. An intelligent framework for short-term multi-step wind speed forecasting based on functional networks;Ahmed;Applied Energy,2018

3. Fuzzy c-means cluster analysis;Bezdek;Scholarpedia,2011

4. Extreme learning machines;Cambria;IEEE Intelligent Systems,2013

5. Increasing spatial resolution of wind resource prediction using nwp and rans simulation;Castorrini;Journal of Wind Engineering and Industrial Aerodynamics,2021

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