Energy price prediction based on decomposed price dynamics: A parallel neural network approach-Reference-Cited by-同舟云学术

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Energy price prediction based on decomposed price dynamics: A parallel neural network approach

Published:2024-10 Issue: Volume:164 Page:111972
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Zhu Min^ORCID,Zheng Siyue,Guo Yu,Song Yuping^ORCID

Publisher

Elsevier BV

Reference51 articles.

1. Predicting fuelwood prices in Greece with the use of ARIMA models, artificial neural networks and a hybrid ARIMA–ANN model;Koutroumanidis;Energy Policy,2009

2. Short-term electricity demand and gas price forecasts using wavelet transforms and adaptive models;Nguyen;Energy,2010

3. Price forecasting of day-ahead electricity markets using a hybrid forecast method;Shafie-khah;Energy Convers. Manage.,2011

4. Machine learning in energy economics and finance: A review;Ghoddusi;Energy Econ.,2019

5. Energy price prediction using data-driven models: A decade review;Lu;Comp. Sci. Rev.,2021

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