A new secondary decomposition ensemble learning approach for carbon price forecasting

Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors

(2019) Meng Han et al.   ENERGY

A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting

(2019) Yan Hao et al.   APPLIED ENERGY

Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS

(2018) Xin Zhao et al.   APPLIED ENERGY

Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks

(2018) Karl Mason et al.   ENERGY

A hybrid model using signal processing technology, econometric models and neural network for carbon spot price forecasting

(2018) Jinliang Zhang et al.   JOURNAL OF CLEANER PRODUCTION

A novel wind speed forecasting based on hybrid decomposition and online sequential outlier robust extreme learning machine

(2018) Dan Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

A hybrid forecasting system based on a dual decomposition strategy and multi-objective optimization for electricity price forecasting

(2018) Wendong Yang et al.   APPLIED ENERGY

A weighted EMD-based prediction model based on TOPSIS and feed forward neural network for noised time series

(2017) Wang Jun et al.   KNOWLEDGE-BASED SYSTEMS

A novel hybrid model for air quality index forecasting based on two-phase decomposition technique and modified extreme learning machine

(2017) Deyun Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Using computational intelligence to forecast carbon prices

(2016) George S. Atsalakis   APPLIED SOFT COMPUTING

SCA: A Sine Cosine Algorithm for solving optimization problems

(2016) Seyedali Mirjalili   KNOWLEDGE-BASED SYSTEMS

Financial time series prediction using a dendritic neuron model

(2016) Tianle Zhou et al.   KNOWLEDGE-BASED SYSTEMS

Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions

(2016) Yun Bai et al.   Atmospheric Pollution Research

Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model

(2015) Xinghua Fan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fault feature extraction of rolling element bearings based on wavelet packet transform and sparse representation theory

(2015) Cong Wang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

An adaptively fast ensemble empirical mode decomposition method and its applications to rolling element bearing fault diagnosis

(2015) Xiaoming Xue et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Variational Mode Decomposition

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

Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil

(2013) Fagner A. de Oliveira et al.   EXPERT SYSTEMS WITH APPLICATIONS

Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology

(2012) Bangzhu Zhu et al.   OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

Forecasting tourism demand based on empirical mode decomposition and neural network

(2011) Chun-Fu Chen et al.   KNOWLEDGE-BASED SYSTEMS

Ensemble empirical mode decomposition for high frequency ECG noise reduction

(2010) Kang-Ming Chang   Biomedical Engineering-Biomedizinische Technik

Causalities between CO2, electricity, and other energy variables during phase I and phase II of the EU ETS

(2010) Jan Horst Keppler et al.   ENERGY POLICY

A new sub-pixel mapping algorithm based on a BP neural network with an observation model

(2008) Liangpei Zhang et al.   NEUROCOMPUTING