Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm-Reference-Cited by-同舟云学术

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Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm

Published:2020-11 Issue: Volume:6 Page:1147-1159
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Samadianfard Saeed,Hashemi Sajjad,Kargar Katayoun,Izadyar Mojtaba,Mostafaeipour Ali,Mosavi Amir,Nabipour Narjes,Shamshirband Shahaboddin

Funder

University of Tabriz, Iran

Publisher

Elsevier BV

Subject

General Energy

Reference26 articles.

1. Assessment of large-scale wind energy potential in the emerging city of Duqm (Oman);Al-Yahyai;Renew. Sustain. Energy Rev.,2015

2. Wind speed prediction of target station from reference stations data;Bilgili;Energy Sources, Part A,2013

3. Wind speed forecasting in three different regions of Mexico, using a hybrid ARIMA-ANN model;Cadenas;Renew. Energy,2010

4. Evaluation of NWP performance for wind energy resource assessment in Oman;Charabi;Renew. Sustain. Energy Rev.,2011

5. Short-term wind forecast of a data assimilation/weather forecasting system with wind turbine anemometer measurement assimilation;Cheng;Renew. Energy,2017

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