Multi-step-ahead solar irradiance modeling employing multi-frequency deep learning models and climatic data-Reference-Cited by-同舟云学术

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Multi-step-ahead solar irradiance modeling employing multi-frequency deep learning models and climatic data

Published:2022-06 Issue: Volume:315 Page:119069
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Nourani Vahid,Sharghi Elnaz,Behfar Nazanin,Zhang Yongqiang

Publisher

Elsevier BV

Subject

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

Reference47 articles.

1. Multi-region modeling of daily global solar radiation with artificial intelligence ensemble;Nourani;Nat Resour Res,2019

2. Comparison of implicit vs. explicit regime identification in machine learning methods for solar irradiance prediction;McCandless;Energies,2020

3. Modelling solar radiation reached to the earth using ANFIS, NN-ARX, and empirical models (Case studies: Zahedan and Bojnurd stations);Piri;J Atmos Sol Terr Phys,2015

4. Solar radiation prediction using Artificial Neural Network techniques: A review;Yadav;Renew Sustain Energy Rev,2014

5. Estimation of daily global solar radiation using wavelet regression, ANN, GEP and empirical models: A comparative study of selected temperature-based approaches;Sharifi;J Atmos Sol Terr Phys,2016

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