Enhancing direct Normal solar Irradiation forecasting for heliostat field applications through a novel hybrid model-Reference-Cited by-同舟云学术

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Enhancing direct Normal solar Irradiation forecasting for heliostat field applications through a novel hybrid model

Published:2024-03 Issue: Volume:304 Page:118189
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Guermoui Mawloud,Arrif Toufik,Belaid Abdelfetah,Hassani Samir,Bailek Nadjem^ORCID

Publisher

Elsevier BV

Reference58 articles.

1. Review of software for optical analyzing and optimizing heliostat fields;Cruz;Renew Sustain Energy Rev,2017

2. ANN model for predicting the direct normal irradiance and the global radiation for a solar application to a residential building;Renno;J Clean Prod,2016

3. Models for solar radiation prediction based on different measurement sites;Lazzaroni;Measurement,2015

4. Sensitivity study for modelling atmospheric attenuation of solar radiation with radiative transfer models and the impact in solar tower plant production;Polo;Sol Energy,2016

5. Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components;Benali;Renew Energy,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved monthly runoff time series prediction by integrating ICCEMDAN and SWD with ELM;2024-09-05

2. Metaheuristic Algorithms for Solar Radiation Prediction: A Systematic Analysis;IEEE Access;2024

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