Optimization of an artificial neural network dedicated to the multivariate forecasting of daily global radiation-Reference-Cited by-同舟云学术

Optimization of an artificial neural network dedicated to the multivariate forecasting of daily global radiation

Published:2011-01 Issue:1 Volume:36 Page:348-359
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Voyant Cyril,Muselli Marc,Paoli Christophe,Nivet Marie-Laure

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference45 articles.

1. Artificial intelligence techniques for photovoltaic applications: A review;Mellit;Prog Energ Combust Sci,2008

2. Predicting total solar irradiation values using artificial neural networks;Mubiru;Renew Energ,2008

3. Estimation of monthly average daily global solar irradiation using artificial neural networks;Mubiru;Solar Energ,2008

4. Artificial neural networks in renewable energy systems applications: a review;Kalogirou;Renew Sustain Energ Rev,2001

5. Hourly solar forecasting using optimal coefficient 2-D linear filter and feed-forward neural networks;Hocaoglu;Solar Energ,2008

Cited by 133 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. A Novel Multidimensional Hybrid Machine Learning Model for CO₂ Injection to Separate Coalbed Methane: Comprehensive Prediction of Methane Diffusion Rate, Production Volume, and CO₂ Sequestration;Energy & Fuels;2024-09-06

2. Analysing the Determinants of Surface Solar Radiation with Tree-Based Machine Learning Methods: Case of Istanbul;Pure and Applied Geophysics;2024-04-15

3. A multilayer perceptron neural network approach for optimizing solar irradiance forecasting in Central Africa with meteorological insights;Scientific Reports;2024-02-12

4. Predicting solar radiation in the urban area: A data-driven analysis for sustainable city planning using artificial neural networking;Sustainable Cities and Society;2024-01

5. Solar radiation forecasting based on ANN, SVM and a novel hybrid FFA-ANN model: A case study of six cities south of Algeria;AIMS Energy;2024