Modelo de predicción de irradiación solar basado en Machine Learning para la Facultad de la Energía, las Industrias y los Recursos Naturales no Renovables de la Universidad Nacional de Loja.
Forecasting data is used to anticipate the availability of solar energy in a specific region. In this paper, solar irradiance forecasting was executed at the Faculty of Energy, Industries and Non-Renewable Natural Resources (FEIRNNR) by implementing Neural Networks, such as Recurrent Neural Networks...
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| Format: | bachelorThesis |
| Sprache: | spa |
| Veröffentlicht: |
2025
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| Schlagworte: | |
| Online Zugang: | https://dspace.unl.edu.ec/jspui/handle/123456789/32450 |
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