Composite quantile regression extreme learning machine with feature selection for short-term wind speed forecasting: A new approach
Review articleOpen access
Abstract:

Highlights•Proposed a hybrid architecture based on CQR-ORELM model for wind speed forecasting.•A hybrid PSOGSA is used for feature selection and parameter optimization.•A TVF-EMD approach is firstly exploited to decompose the original wind speed signal.•Predictive probabilistic density is estimated using different quantile results.

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