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...
Uloženo v:
| Hlavní autoři: | , , |
|---|---|
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI AG
2026-04-01
|
| Edice: | Energies |
| Témata: | |
| On-line přístup: | https://www.mdpi.com/1996-1073/19/9/2156 |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|