A new semiparametric and EEMD based framework for mid-term electricity demand forecasting in China: Hidden characteristic extraction and probability density prediction

Title
A new semiparametric and EEMD based framework for mid-term electricity demand forecasting in China: Hidden characteristic extraction and probability density prediction
Authors
Keywords
Mid-term electricity demand, Forecasting, Semi-parametric regression, Ensemble Empirical Mode Decomposition, Probability density forecasts
Journal
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 52, Issue -, Pages 876-889
Publisher
Elsevier BV
Online
2015-08-25
DOI
10.1016/j.rser.2015.07.159

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