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...

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Bibliographic Details

Main Authors:	Hussain, Arif, Ravikumar, Gelli
Format:	Book Chapter
Language:	English
Published:	IntechOpen 2025
Subjects:	Physical Sciences, Engineering and Technology
Online Access:	https://www.intechopen.com/chapters/1226121
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