Wind speed prediction using measurements from neighboring locations and combining the extreme learning machine and the AdaBoost algorithm-Reference-Cited by-同舟云学术

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Wind speed prediction using measurements from neighboring locations and combining the extreme learning machine and the AdaBoost algorithm

Published:2022-11 Issue: Volume:8 Page:1508-1518
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Wang Lili^ORCID,Guo Yanlong,Fan Manhong,Li Xin

Publisher

Elsevier BV

Subject

General Energy

Reference50 articles.

1. Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting;Aasim;Renew. Energy,2019

2. Wind speed and power forecasting based on spatial correlation models;Alexiadis;IEEE Trans. Energy Convers.,1999

3. Estimation of evapotranspiration and its partition based on an extended three-temperature model and MODIS products;Fei;J. Hydrol.,2013

4. Short-term forecast of wind speed through mathematical models;Ferreira;Energy Rep.,2019

5. Improved spatio-temporal linear models for very short-term wind speed forecasting;Filik;Energies,2016

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