Renewable energy sources integration via machine learning modelling: A systematic literature review.

4.1.1.2 SVMs and SVRs Although there is a clear trend for using deep NNs, their complex implementation makes other learning strategies, such as SVM/SVR, RF and boosting techniques, also attractive to researchers, as seen from Table 5 .

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5.1.3 Ensemble of ML-based methods for RES power output forecasting As introduced in Section 4.1.1.3 , together with the remarkable trend for using deep NNs, a strong trend for using ensembles of the same or different base learners has also been identified.

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