An effective and robust decomposition-ensemble energy price forecasting paradigm with local linear prediction-Reference-Cited by-同舟云学术

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An effective and robust decomposition-ensemble energy price forecasting paradigm with local linear prediction

Published:2019-09 Issue: Volume:83 Page:402-414
ISSN:0140-9883
Container-title:Energy Economics
language:en
Short-container-title:Energy Economics

Author:

Qin Quande,Xie Kangqiang,He Huangda,Li Li,Chu Xianghua,Wei Yi-Ming,Wu Teresa

Funder

National Natural Science Foundation of China

Major Research Plan

MOE

Publisher

Elsevier BV

Subject

General Energy,Economics and Econometrics

Reference70 articles.

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2. Day-ahead deregulated electricity market price forecasting using neural network input featured by DCT;Anbazhagan;Energy Convers. Manag.,2014

3. Chaotic time series prediction with residual analysis method using hybrid Elman–NARX neural networks;Ardalani-Farsa;Neurocomputing,2010

4. Forecasting the oil–gasoline price relationship: do asymmetries help?;Bastianin;Energy Econ.,2014

5. Nonlinear deterministic forecasting of daily dollar exchange rates;Cao;Int. J. Forecast.,1999

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