Hybrid methodologies for electricity load forecasting: Entropy-based feature selection with machine learning and soft computing techniques

Published 2015 View Full Article

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Title
Hybrid methodologies for electricity load forecasting: Entropy-based feature selection with machine learning and soft computing techniques
Authors
Keywords
Building electricity forecasting, Entropy-based feature selection, Fuzzy Inductive Reasoning, Neural Networks, Random Forest, ARIMA
Journal
ENERGY
Volume 86, Issue -, Pages 276-291
Publisher
Elsevier BV
Online
2015-05-23
DOI
10.1016/j.energy.2015.04.039

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