Day-ahead electricity market price forecasting using artificial neural network with spearman data correlation
Electricity markets are complex environments with very dynamic characteristics. The large-scale penetration of renewable energy sources has brought an increased uncertainty to generation, which is consequently, reflected in electricity market prices. In this way, novel advanced forecasting methods t...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2021
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.22/18484 |
| País: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/18484 |