An innovative random forest-based nonlinear ensemble paradigm of improved feature extraction and deep learning for carbon price forecasting

Published 2020 View Full Article

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Title
An innovative random forest-based nonlinear ensemble paradigm of improved feature extraction and deep learning for carbon price forecasting
Authors
Keywords
Carbon price prediction, Hybrid model, Improved feature extraction, Long short-term memory network, Nonlinear ensemble algorithm, Random forest
Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume -, Issue -, Pages 143099
Publisher
Elsevier BV
Online
2020-10-16
DOI
10.1016/j.scitotenv.2020.143099

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