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Short-Term Forecasting for Energy Consumption through Stacking Heterogeneous Ensemble Learning Model

In the real-life, time-series data comprise a complicated pattern, hence it may be challenging to increase prediction accuracy rates by using machine learning and conventional statistical methods as single learners. This research outlines and investigates the Stacking Multi-Learning Ensemble (SMLE)...

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Autori principali: Mergani A. Khairalla, Xu Ning, Nashat T. AL-Jallad, Musaab O. El-Faroug
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2018-06-01
Serie:Energies
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Accesso online:http://www.mdpi.com/1996-1073/11/6/1605
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