Why do EMD‐based methods improve prediction? A multiscale complexity perspective-Reference-Cited by-同舟云学术

Why do EMD‐based methods improve prediction? A multiscale complexity perspective

Published:2019-04-22 Issue:7 Volume:38 Page:714-731
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Dong Jichang¹,Dai Wei¹²,Tang Ling³^ORCID,Yu Lean⁴

Affiliation:

1. School of Economics and ManagementUniversity of Chinese Academy of Sciences Beijing China

2. JD Digital Beijing China

3. School of Economics and ManagementBeihang University Beijing China

4. School of Economics and ManagementBeijing University of Chemical Technology Beijing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/for.2593

Reference41 articles.

1. EEMD-based wind turbine bearing failure detection using the generator stator current homopolar component

2. Forecasting Air Passenger Traffic by Support Vector Machines with Ensemble Empirical Mode Decomposition and Slope-Based Method

3. Measuring complexity using FuzzyEn, ApEn, and SampEn

4. Comparing Predictive Accuracy

5. The behaviour mechanism analysis of regional natural gas prices: A multi-scale perspective

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