Solar energy forecasting based on hybrid neural network and improved metaheuristic algorithm-Reference-Cited by-同舟云学术

Solar energy forecasting based on hybrid neural network and improved metaheuristic algorithm

Published:2017-10-03 Issue:1 Volume:34 Page:241-260
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Abedinia Oveis¹,Amjady Nima¹,Ghadimi Noradin²

Affiliation:

1. Department of Electronic Engineering, Electrical and Computer Engineering Faculty; Semnan University; Semnan Iran

2. Young Researchers and Elite Club, Ardabil Branch; Islamic Azad University; Ardabil Iran

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/coin.12145/fullpdf

Reference21 articles.

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3. Mellit A Arab AH Khorissi N Salhi H An ANIF based forecasting for solar radiation data from sunshine duration and ambient temperature IEEE Digital Object Identifier 2007 https://doi.org/10.1109/PES.2007.38631

4. An ANN-based approach for predicting global radiation in locations with no direct measurement instrumentation;Al-Alawi;Renew Energy,1998

5. Predicting solar radiation at high resolutions: a comparison of time series forecasts;Reikard;Sol Energy,2009

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