Carbon price forecasting system based on error correction and divide-conquer strategies

Forecasting of COVID-19 using deep layer Recurrent Neural Networks (RNNs) with Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) cells

(2021) K.E. ArunKumar et al.   CHAOS SOLITONS & FRACTALS

Wind speed forecasting system based on gated recurrent units and convolutional spiking neural networks

(2021) Danxiang Wei et al.   APPLIED ENERGY

Interval forecasting system for electricity load based on data pre-processing strategy and multi-objective optimization algorithm

(2021) Jianzhou Wang et al.   APPLIED ENERGY

A novel combined model for wind speed prediction – Combination of linear model, shallow neural networks, and deep learning approaches

(2021) Shuai Wang et al.   ENERGY

Point and interval prediction for non-ferrous metals based on a hybrid prediction framework

(2021) Jianzhou Wang et al.   RESOURCES POLICY

Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm

(2021) Ping Jiang et al.   RESOURCES POLICY

Effects of PM2.5 on health and economic loss: Evidence from Beijing-Tianjin-Hebei region of China

(2020) Jianzhou Wang et al.   JOURNAL OF CLEANER PRODUCTION

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

(2020) Jianzhou Wang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

(2020) Sinvaldo Rodrigues Moreno et al.   RENEWABLE ENERGY

A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting

(2019) Xinsong Niu et al.   APPLIED ENERGY

Coal production and consumption analysis, and forecasting of related carbon emission: evidence from China

(2019) Ping Jiang et al.   Carbon Management

A novel hybrid model for short-term wind power forecasting

(2019) Pei Du et al.   APPLIED SOFT COMPUTING

Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting

(2019) Gabriel Trierweiler Ribeiro et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China

(2019) Wendong Yang et al.   JOURNAL OF CLEANER PRODUCTION

Container throughput forecasting using a novel hybrid learning method with error correction strategy

(2019) Pei Du et al.   KNOWLEDGE-BASED SYSTEMS

Hybrid forecasting system based on an optimal model selection strategy for different wind speed forecasting problems

(2019) Qingguo Zhou et al.   APPLIED ENERGY

A novel combined model based on hybrid optimization algorithm for electrical load forecasting

(2019) Rui Wang et al.   APPLIED SOFT COMPUTING

Modelling of carbon price in two real carbon trading markets

(2019) Yan Hao et al.   JOURNAL OF CLEANER PRODUCTION

Electrical characterisation of proton exchange membrane fuel cells stack using grasshopper optimiser

(2018) Attia A. El-Fergany   IET Renewable Power Generation

How China's current carbon trading policy affects carbon price? An investigation of the Shanghai Emission Trading Scheme pilot

(2018) Yazhi Song et al.   JOURNAL OF CLEANER PRODUCTION

Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm

(2018) Wei Sun et al.   APPLIED 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 dynamic evaluation framework for ambient air pollution monitoring

(2018) Ranran Li et al.   APPLIED MATHEMATICAL MODELLING

Novel analysis–forecast system based on multi-objective optimization for air quality index

(2018) Hongmin Li et al.   JOURNAL OF CLEANER PRODUCTION

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

Carbon price forecasting with variational mode decomposition and optimal combined model

(2018) Jiaming Zhu et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Using computational intelligence to forecast carbon prices

(2016) George S. Atsalakis   APPLIED SOFT COMPUTING

A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks

(2016) Guoqiang Sun et al.   Energies

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

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

Outlier-robust extreme learning machine for regression problems

(2015) Kai Zhang et al.   NEUROCOMPUTING

Forecasting wind speed using empirical mode decomposition and Elman neural network

(2014) Jujie Wang et al.   APPLIED SOFT COMPUTING

Variational Mode Decomposition

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

A Novel Multiscale Ensemble Carbon Price Prediction Model Integrating Empirical Mode Decomposition, Genetic Algorithm and Artificial Neural Network

(2012) Bangzhu Zhu   Energies

Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes

(2012) Rui Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS