Short-Term Disaggregated Load Forecasting Using a Hybrid Fuzzy ARTMAP and K-means Clustering Model
Accurate short-term load forecasting at disaggregated levels is critical for energy management in microgrids and institutional environments, yet it remains a challenge due to high consumption variability and limited contextual information. This paper proposes a hybrid model that combines Fuzzy ARTMA...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2026-04-01
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| coleção: | Energies |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1996-1073/19/9/2156 |
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