Machine Learning-Driven Stacked Ensemble Meta-Learning for Short-Term Solar Power Forecasting
<p id="p1">This chapter presents an advanced short-term solar power forecasting method utilizing a machine learning-driven stacked ensemble meta-learning (ML-SEML) framework. The inherent intermittency of solar power poses a significant challenge to accurate forecasting, as traditional machine and d...
Guardado en:
| Autores principales: | , |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2025
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/1226121 |
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