ARIMA Models in Electrical Load Forecasting and Their Robustness to Noise
The paper addresses the problem of insufficient knowledge on the impact of noise on the auto-regressive integrated moving average (ARIMA) model identification. The work offers a simulation-based solution to the analysis of the tolerance to noise of ARIMA models in electrical load forecasting. In the...
Gardado en:
| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2021-11-01
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| Series: | Energies |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/1996-1073/14/23/7952 |
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