A novel carbon price combination forecasting approach based on multi-source information fusion and hybrid multi-scale decomposition

Carbon price forecasting based on CEEMDAN and LSTM

(2022) Feite Zhou et al.   APPLIED ENERGY

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

(2021) Yumeng Huang et al.   APPLIED ENERGY

A Carbon Price Prediction Model Based on the Secondary Decomposition Algorithm and Influencing Factors

(2021) Jianguo Zhou et al.   Energies

A Hybrid Approach of Adaptive Wavelet Transform, Long Short-Term Memory and ARIMA-GARCH Family Models for the Stock Index Prediction

(2021) Mehdi Zolfaghari et al.   EXPERT SYSTEMS WITH APPLICATIONS

A denoising carbon price forecasting method based on the integration of kernel independent component analysis and least squares support vector regression

(2021) Jianwei E et al.   NEUROCOMPUTING

Developing a framework to assess the long-term adoption of renewable energy technologies in the electric power sector: The effects of carbon price and economic incentives

(2021) S. Radpour et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Economy and carbon emissions optimization of different countries or areas in the world using an improved Attention mechanism based long short term memory neural network

(2021) Xiaoyong Lin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A hybrid framework for carbon trading price forecasting: The role of multiple influence factor

(2020) Yan Hao et al.   JOURNAL OF CLEANER PRODUCTION

Carbon price forecasting based on modified ensemble empirical mode decomposition and long short-term memory optimized by improved whale optimization algorithm

(2020) Shaomei Yang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Carbon price forecasting with optimization prediction method based on unstructured combination

(2020) Yongchun Huang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A novel carbon price prediction model combines the secondary decomposition algorithm and the long short-term memory network

(2020) Wei Sun et al.   ENERGY

Multi-Step-Ahead Carbon Price Forecasting Based on Variational Mode Decomposition and Fast Multi-Output Relevance Vector Regression Optimized by the Multi-Objective Whale Optimization Algorithm

(2019) Shenghua Xiong et al.   Energies

Carbon pricing prediction based on wavelet transform and K-ELM optimized by bat optimization algorithm in China ETS: the case of Shanghai and Hubei carbon markets

(2019) Sun Wei et al.   Carbon Management

Carbon price forecasting models based on big data analytics

(2019) Mustafa Yahşi et al.   Carbon Management

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

Carbon price forecasting with complex network and extreme learning machine

(2019) Hua Xu et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Social Media Data-Based Sentiment Analysis of Tourists’ Air Quality Perceptions

(2019) Yuguo Tao et al.   Sustainability

Point and interval forecasting for carbon price based on an improved analysis-forecast system

(2019) Chengshi Tian et al.   APPLIED MATHEMATICAL MODELLING

Sentiment analysis on stock social media for stock price movement prediction

(2019) Ali Derakhshan et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction

(2019) Sujan Ghimire et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Combined model with secondary decomposition-model selection and sample selection for multi-step wind power forecasting

(2019) Zhuochun Wu et al.   APPLIED ENERGY

A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network

(2019) Wei Sun et al.   JOURNAL OF CLEANER PRODUCTION

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 semi-heterogeneous approach to combining crude oil price forecasts

(2018) Jue Wang et al.   INFORMATION SCIENCES

Regional carbon emission evolution mechanism and its prediction approach driven by carbon trading – A case study of Beijing

(2018) Jin-peng Liu et al.   JOURNAL OF CLEANER PRODUCTION

Modeling and forecasting the volatility of carbon emission market: The role of outliers, time-varying jumps and oil price risk

(2018) Anupam Dutta   JOURNAL OF CLEANER PRODUCTION

California's carbon market and energy prices: a wavelet analysis

(2018) Luís Aguiar-Conraria et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

A review of China’s carbon trading market

(2018) Qingqing Weng et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

Carbon price forecasting with variational mode decomposition and optimal combined model

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

Research and application of a combined model based on multi-objective optimization for electrical load forecasting

(2017) Liye Xiao et al.   ENERGY

A novel intelligent approach for state space evolving forecasting of seasonal time series

(2017) Selmo Eduardo Rodrigues Júnior et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A hybrid ETS–ANN model for time series forecasting

(2017) Sibarama Panigrahi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Factor analysis and forecasting of CO 2 emissions in Hebei, using extreme learning machine based on particle swarm optimization

(2017) Wei Sun et al.   JOURNAL OF CLEANER PRODUCTION

Forecasting Chinese carbon emissions from fossil energy consumption using non-linear grey multivariable models

(2017) Zheng-Xin Wang et al.   JOURNAL OF CLEANER PRODUCTION

Accurate photovoltaic power forecasting models using deep LSTM-RNN

(2017) Mohamed Abdel-Nasser et al.   NEURAL COMPUTING & APPLICATIONS

Using computational intelligence to forecast carbon prices

(2016) George S. Atsalakis   APPLIED SOFT COMPUTING

Sentiment analysis on social media for stock movement prediction

(2015) Thien Hai Nguyen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Back propagation neural network with adaptive differential evolution algorithm for time series forecasting

(2015) Lin Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A new hybrid enhanced local linear neuro-fuzzy model based on the optimized singular spectrum analysis and its application for nonlinear and chaotic time series forecasting

(2015) Majid Abdollahzade et al.   INFORMATION SCIENCES

Identifying Expertise to Extract the Wisdom of Crowds

(2015) David V. Budescu et al.   MANAGEMENT SCIENCE

Energy prices and CO2 emission allowance prices: A quantile regression approach

(2014) Shawkat Hammoudeh et al.   ENERGY POLICY

Variational Mode Decomposition

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

Modelling and forecasting fossil fuels, CO2 and electricity prices and their volatilities

(2012) Carolina García-Martos et al.   APPLIED ENERGY

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

Data analysis and short term load forecasting in Iran electricity market using singular spectral analysis (SSA)

(2011) K. Afshar et al.   ENERGY

Combined modeling for electric load forecasting with adaptive particle swarm optimization

(2010) Jianzhou Wang et al.   ENERGY

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