An Adaptive Multiscale Ensemble Learning Paradigm for Carbon Price Forecasting

This final chapter is devoted to an adaptive model of carbon price forecasting that makes use of artificial neural networks. Considering either ensemble empirical mode decomposition, the least squares support vector machine, or the particle swarm optimization variant, the competing models are given an extra dimension by incorporating a learning paradigm.

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