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| Titre : | Estimation of solar radiation using artificial neural networks | | Type de document : | document multimédia | | Auteurs : | Mamma Benadjila, Auteur ; Amina Allaoua, Auteur ; Khalil Benmouiza, Directeur de thèse ; Mouhoub Birane, Directeur de thèse | | Editeur : | Laghouat : Université Amar Telidji - Département d'électrotechnique | | Année de publication : | 2017 | | Importance : | 60 p. | | Format : | 30 cm. | | Accompagnement : | 1 disque optique numérique (CD-ROM) | | Note générale : | Option : Renewable energies (Énergies renouvelables) | | Langues : | Anglais | | Mots-clés : | Solar irradiation Artificial neural networks Estimation Solar energy Irradiation solaire Réseaux neuronaux artificiels Énergie solaire | | Résumé : | The application of solar energy at a given site requires the complete and detailed knowledge of solar radiation of the site. On the ground level, it is an important element for conversion systems using solar energy. This is generally easy when the site is provided with a radiometric measurement station running regularly for several years. This information can be collected by different methods such as measuring solar radiation data. However, in most areas of the world, these measurements are not easily available due to financial, technical, or institutional limitations. Hence, we propose in this dissertation an artificial intelligent method to estimate the global solar radiation data from measured and calculated data. They demonstrated that they are more suitable and give better results compared to conventional approximation methods proposed by other researchers for the estimation of solar irradiation. | | note de thèses : | Mémoire de master en électronique |
Estimation of solar radiation using artificial neural networks [document multimédia] / Mamma Benadjila, Auteur ; Amina Allaoua, Auteur ; Khalil Benmouiza, Directeur de thèse ; Mouhoub Birane, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'électrotechnique, 2017 . - 60 p. ; 30 cm. + 1 disque optique numérique (CD-ROM). Option : Renewable energies (Énergies renouvelables) Langues : Anglais | Mots-clés : | Solar irradiation Artificial neural networks Estimation Solar energy Irradiation solaire Réseaux neuronaux artificiels Énergie solaire | | Résumé : | The application of solar energy at a given site requires the complete and detailed knowledge of solar radiation of the site. On the ground level, it is an important element for conversion systems using solar energy. This is generally easy when the site is provided with a radiometric measurement station running regularly for several years. This information can be collected by different methods such as measuring solar radiation data. However, in most areas of the world, these measurements are not easily available due to financial, technical, or institutional limitations. Hence, we propose in this dissertation an artificial intelligent method to estimate the global solar radiation data from measured and calculated data. They demonstrated that they are more suitable and give better results compared to conventional approximation methods proposed by other researchers for the estimation of solar irradiation. | | note de thèses : | Mémoire de master en électronique |
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