Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generation
Resumen:
This work presents the training of a Neural Network (NN) using Genetic Algorithm (GA) for medium-term wind and solar power generation forecasts. Wind speed, solar radiation, and other meteorological variables forecasts are provided by a meteorological service and are used as the NN’s inputs. The NN’s output is the generated power forecast. A comparison between the previously used mdel and the new one s shown and future improvements are discussed
| 2018 | |
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Neural networks Wind and solar power midterm generation forecast Genetic algorithm |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/47023 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
