Relevance of hybrid artificial intelligence for improving the forecasting accuracy of natural resource prices

Role of Natural resources rent on economic growth: Fresh empirical insight from selected developing economies

(2023) Yiling Yu   RESOURCES POLICY

Forecasting energy spot prices: A multiscale clustering recognition approach

(2023) Ranran Li   RESOURCES POLICY

Forecasting: theory and practice

(2022) Fotios Petropoulos et al.   INTERNATIONAL JOURNAL OF FORECASTING

Prediction of crude oil prices in COVID-19 outbreak using real data

(2022) Öznur Öztunç Kaymak et al.   CHAOS SOLITONS & FRACTALS

Predicting the price of WTI crude oil futures using artificial intelligence model with chaos

(2022) Tao Yin et al.   FUEL

Natural resources endowment: What more does West Africa need in order to grow?

(2022) Hammed Oluwaseyi Musibau et al.   RESOURCES POLICY

Examining the Impact of Energy Price Volatility on Commodity Prices from Energy Supply Chain Perspectives

(2022) Hokey Min   Energies

Electricity price forecasting with high penetration of renewable energy using attention-based LSTM network trained by crisscross optimization

(2022) Anbo Meng et al.   ENERGY

A novel hybrid method for oil price forecasting with ensemble thought

(2022) Xinsheng Ding et al.   Energy Reports

What do the AI methods tell us about predicting price volatility of key natural resources: Evidence from hyperparameter tuning

(2022) Mrinalini Srivastava et al.   RESOURCES POLICY

A sentiment-enhanced hybrid model for crude oil price forecasting

(2022) Yan Fang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Real-time electricity price forecasting of wind farms with deep neural network transfer learning and hybrid datasets

(2021) Haolin Yang et al.   APPLIED ENERGY

Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting

(2021) Sumeyra Demir et al.   APPLIED ENERGY

Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling

(2021) Wei Li et al.   ENERGY

Volatility forecasting of crude oil futures based on a genetic algorithm regularization online extreme learning machine with a forgetting factor: The role of news during the COVID-19 pandemic

(2021) Futian Weng et al.   RESOURCES POLICY

Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding

(2020) Roujian Lu et al.   LANCET

Energy price prediction using data-driven models: A decade review

(2020) Hongfang Lu et al.   Computer Science Review

Modeling wind power investments, policies and social benefits for deregulated electricity market – A review

(2019) Lakshmi Chinmoy et al.   APPLIED ENERGY

Outlier-robust hybrid electricity price forecasting model for electricity market management

(2019) Jianzhou Wang et al.   JOURNAL OF CLEANER PRODUCTION

A study of lead–lag structure between international crude oil price and several financial markets

(2019) Can-Zhong Yao et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Effective Long short-term Memory with Differential Evolution Algorithm for Electricity Price Prediction

(2018) Lu Peng et al.   ENERGY

A novel decompose-ensemble methodology with AIC-ANN approach for crude oil forecasting

(2018) Yishan Ding   ENERGY

Prediction of soybean price in China using QR-RBF neural network model

(2018) Dongqing Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

(2016) Lean Yu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Electricity price forecasting using a new data fusion algorithm

(2015) Ali Darudi et al.   IET Generation Transmission & Distribution

Predicting oil price movements: A dynamic Artificial Neural Network approach

(2014) Ali Abbasi Godarzi et al.   ENERGY POLICY

Evaluating Rare Earth Element Availability: A Case with Revolutionary Demand from Clean Technologies

(2012) Elisa Alonso et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Statistical analysis and forecasting of return interval for SSE and model by lattice percolation system and neural network

(2011) Fei Wang et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Temporal dynamics of spontaneous MEG activity in brain networks

(2010) F. de Pasquale et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Fractional dynamic behavior in Forcados Oil Price Series: An application of detrended fluctuation analysis

(2008) O. Felix Ayadi et al.   Energy for Sustainable Development