A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms

A hybrid model for carbon price forecasting using GARCH and long short-term memory network

(2021) Yumeng Huang et al.   APPLIED ENERGY

Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction

(2021) Ming-De Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Novel hybrid model based on echo state neural network applied to the prediction of stock price return volatility

(2021) Gabriel Trierweiler Ribeiro et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel composite electricity demand forecasting framework by data processing and optimized support vector machine

(2020) Ping Jiang et al.   APPLIED ENERGY

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

(2020) Alex Sherstinsky   PHYSICA D-NONLINEAR PHENOMENA

Impact of coal sector’s de-capacity policy on coal price

(2020) Xiaofei Wang et al.   APPLIED ENERGY

Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network

(2020) Sinvaldo Rodrigues Moreno et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-step ahead forecasting of regional air quality using spatial-temporal deep neural networks: A case study of Huaihai Economic Zone

(2020) Kefei Zhang et al.   JOURNAL OF CLEANER PRODUCTION

Hourly PM2.5 concentration forecasting based on mode decomposition-recombination technique and ensemble learning approach in severe haze episodes of China

(2020) Wei Sun et al.   JOURNAL OF CLEANER PRODUCTION

Evaluating five different adaptive decomposition methods for EEG signal seizure detection and classification

(2020) Vinícius R. Carvalho et al.   Biomedical Signal Processing and Control

An innovative random forest-based nonlinear ensemble paradigm of improved feature extraction and deep learning for carbon price forecasting

(2020) Jujie Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Deep learning based prognostic framework towards proton exchange membrane fuel cell for automotive application

(2020) Jian Zuo et al.   APPLIED ENERGY

Data multi-scale decomposition strategies for air pollution forecasting: A comprehensive review

(2020) Hui Liu et al.   JOURNAL OF CLEANER PRODUCTION

The Next Energy Battle: Cheap Natural Gas versus Renewables

(2020) Mitch Leslie   Engineering

A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting

(2020) Ramon Gomes da Silva et al.   ENERGY

A new crude oil price forecasting model based on variational mode decomposition

(2020) Yusheng Huang et al.   KNOWLEDGE-BASED SYSTEMS

Hybrid multi-stage decomposition with parametric model applied to wind speed forecasting in Brazilian Northeast

(2020) Sinvaldo Rodrigues Moreno et al.   RENEWABLE ENERGY

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

(2020) Hongfang Lu et al.   Computer Science Review

Long-term forecast of energy commodities price using machine learning

(2019) Gabriel Paes Herrera et al.   ENERGY

Data processing strategies in wind energy forecasting models and applications: A comprehensive review

(2019) Hui Liu et al.   APPLIED ENERGY

Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network

(2019) Yishun Liu et al.   KNOWLEDGE-BASED SYSTEMS

A hybrid VMD–BiGRU model for rubber futures time series forecasting

(2019) Qing Zhu et al.   APPLIED SOFT COMPUTING

A quadratic penalty item optimal variational mode decomposition method based on single-objective salp swarm algorithm

(2019) Xinlong Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel hybrid decomposition-ensemble model based on VMD and HGWO for container throughput forecasting

(2018) Mingfei Niu et al.   APPLIED MATHEMATICAL MODELLING

ARIMA forecasting of China’s coal consumption, price and investment by 2030

(2018) Shumin Jiang et al.   Energy Sources Part B-Economics Planning and Policy

Chatter detection in milling process based on VMD and energy entropy

(2018) Changfu Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

ARIMA forecasting of China’s coal consumption, price and investment by 2030

(2018) Shumin Jiang et al.   Energy Sources Part B-Economics Planning and Policy

A novel wind speed forecasting system based on hybrid data preprocessing and multi-objective optimization

(2018) Chengshi Tian et al.   APPLIED ENERGY

Comparing Variational and Empirical Mode Decomposition in Forecasting Day-Ahead Energy Prices

(2017) Salim Lahmiri   IEEE Systems Journal

Research on Ship-Radiated Noise Denoising Using Secondary Variational Mode Decomposition and Correlation Coefficient

(2017) et al.   SENSORS

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Multi-fractal fluctuation features of thermal power coal price in China

(2016) Zhen-yu Zhao et al.   ENERGY

Prediction of China’s coal price during Twelfth Five Year Plan period

(2016) Zeng Ming et al.   Energy Sources Part B-Economics Planning and Policy

Coal price fluctuation mechanism in China based on system dynamics model

(2016) Zhihua Ding et al.   NATURAL HAZARDS

A new intelligent method based on combination of VMD and ELM for short term wind power forecasting

(2016) Ali Akbar Abdoos   NEUROCOMPUTING

Prediction of China’s coal price during Twelfth Five Year Plan period

(2016) Zeng Ming et al.   Energy Sources Part B-Economics Planning and Policy

A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting

(2015) Lean Yu et al.   APPLIED ENERGY

The study and application of a novel hybrid forecasting model – A case study of wind speed forecasting in China

(2015) Jian-Zhou Wang et al.   APPLIED ENERGY

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Comparing the applications of EMD and EEMD on time–frequency analysis of seismic signal

(2012) Tong Wang et al.   JOURNAL OF APPLIED GEOPHYSICS