Abstract: Highlights•An ensemble deep randomized network for forecasting is proposed.•Empirical wavelet transformation is used to augment unsupervised features.•A layer-wise tuning algorithm is proposed to optimize the structures.•Two error metrics and statistical tests are utilized to compare the models.