Design and evaluation of a hybrid forecasting system for electric power consumption using intelligent parameter tuning and nonlinear data modeling
Accurate prediction of electricity consumption is a complex, nonlinear task, and traditional linear, fixed-parameter models often fail to capture dynamic demand patterns. To overcome these challenges, this study proposes an innovative hybrid forecasting framework that integrates Support Vector Regre...
Kaydedildi:
| Asıl Yazarlar: | , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
KeAi Communications Co., Ltd.
2026-07-01
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| Seri Bilgileri: | Green Technologies and Sustainability |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2949736126000357 |
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