4.7 Article

Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Interdisciplinary Applications

Crude oil price prediction: A comparison between AdaBoost-LSTM and AdaBoost-GRU for improving forecasting performance

Ganiyu Adewale Busari et al.

Summary: This study introduces the AdaBoost-GRU model and demonstrates its superiority in forecasting crude oil prices compared to AdaBoost-LSTM and benchmark models.

COMPUTERS & CHEMICAL ENGINEERING (2021)

Article Automation & Control Systems

Forecasting crude oil price with a new hybrid approach and multi-source data

Yifan Yang et al.

Summary: This study incorporates traditional economic data and GSVI data to improve forecasting accuracy and proposes a new hybrid approach. Empirical results show that GSVI data outperforms economic data in level forecasting accuracy, while the hybrid data combines their advantages for the best performance. At the method level, the divide and conquer strategy demonstrates better forecasting performance.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)

Article Physics, Multidisciplinary

Crude oil price forecasting based on a novel hybrid long memory GARCH-M and wavelet analysis model

Ling Lin et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2020)

Article Thermodynamics

A new hybrid model for forecasting Brent crude oil price

Hooman Abdollahi et al.

ENERGY (2020)

Article Automation & Control Systems

Analysis of the influence of international benchmark oil price on China's real exchange rate forecasting

Jianzhou Wang et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)

Article Automation & Control Systems

Brent Oil Price Prediction Using Bi-LSTM Network

Anh H. Vo et al.

INTELLIGENT AUTOMATION AND SOFT COMPUTING (2020)

Article Physics, Multidisciplinary

A hybrid deep learning approach by integrating LSTM-ANN networks with GARCH model for copper price volatility prediction

Yan Hu et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2020)

Article Business

A novel hybrid approach to forecast crude oil futures using intraday data

Jeevananthan Manickavasagam et al.

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2020)

Article Physics, Multidisciplinary

Improved EEMD-based crude oil price forecasting using LSTM networks

Yu-Xi Wu et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)

Article Energy & Fuels

Artificial Intelligence Approach for Modeling and Forecasting Oil-Price Volatility

Saud M. Al-Fattah

SPE RESERVOIR EVALUATION & ENGINEERING (2019)

Article Computer Science, Artificial Intelligence

Modes decomposition method in fusion with robust random vector functional link network for crude oil price forecasting

Ranjeeta Bisoi et al.

APPLIED SOFT COMPUTING (2019)

Article Mathematics, Interdisciplinary Applications

Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques

Aytac Altan et al.

CHAOS SOLITONS & FRACTALS (2019)

Article Computer Science, Theory & Methods

Henry gas solubility optimization: A novel physics-based algorithm

Fatma A. Hashim et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)

Article Computer Science, Artificial Intelligence

Time series forecasting of petroleum production using deep LSTM recurrent networks

Alaa Sagheer et al.

NEUROCOMPUTING (2019)

Article Energy & Fuels

A novel method based on numerical fitting for oil price trend forecasting

Lu-Tao Zhao et al.

APPLIED ENERGY (2018)

Article Thermodynamics

Oil price forecasting using a hybrid model

Ali Safari et al.

ENERGY (2018)

Article Physics, Multidisciplinary

Multi-step-ahead crude oil price forecasting using a hybrid grey wave model

Yanhui Chen et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2018)

Article Economics

Forecasting the WTI crude oil price by a hybrid-refined method

Jian Chai et al.

ENERGY ECONOMICS (2018)

Article Physics, Multidisciplinary

A study on chaos in crude oil markets before and after 2008 international financial crisis

Salim Lahmiri

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2017)

Article Energy & Fuels

How crude oil prices shape the global division of labor

Francesco Picciolo et al.

APPLIED ENERGY (2017)

Article Automation & Control Systems

A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting

Lean Yu et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2016)

Article Computer Science, Artificial Intelligence

Multiobjective optimization based adaptive models with fuzzy decision making for stock market forecasting

Babita Majhi et al.

NEUROCOMPUTING (2015)

Article Economics

A novel hybrid method for crude oil price forecasting

Jin-Liang Zhang et al.

ENERGY ECONOMICS (2015)

Article Economics

Predicting oil price movements: A dynamic Artificial Neural Network approach

Ali Abbasi Godarzi et al.

ENERGY POLICY (2014)

Article Economics

Financial structure on growth and volatility

Chih-Chuan Yeh et al.

ECONOMIC MODELLING (2013)

Article Computer Science, Interdisciplinary Applications

A flexible neural network-fuzzy mathematical programming algorithm for improvement of oil price estimation and forecasting

Ali Azadeh et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2012)

Article Economics

Oil price shocks and European industries

Bert Scholtens et al.

ENERGY ECONOMICS (2012)

Article Business, Finance

Technical analysis: An asset allocation perspective on the use of moving averages

Yingzi Zhu et al.

JOURNAL OF FINANCIAL ECONOMICS (2009)

Article Business, Finance

Is smarter better? A comparison of adaptive, and simple moving average trading strategies

Craig A. Ellis et al.

RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE (2005)

Article Physics, Multidisciplinary

Multifractal Hurst analysis of crude oil prices

J Alvarez-Ramirez et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2002)