A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series-Reference-Cited by-同舟云学术

A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series

Published:2020-12 Issue: Volume:212 Page:118750
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Karasu Seçkin,Altan Aytaç,Bekiros Stelios,Ahmad Wasim

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference43 articles.

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2. A novel method based on numerical fitting for oil price trend forecasting;Zhao;Appl Energy,2018

3. Symmetry/anti-symmetry phase transitions in crude oil markets;Alvarez-Ramirez;Phys Stat Mech Appl,2003

4. Crude oil price forecasting based on internet concern using an extreme learning machine;Wang;Int J Forecast,2018

5. Text-based crude oil price forecasting: a deep learning approach;Li;Int J Forecast,2019

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