A combination forecasting model based on hybrid interval multi-scale decomposition: Application to interval-valued carbon price forecasting
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A combination forecasting model based on hybrid interval multi-scale decomposition: Application to interval-valued carbon price forecasting
Authors
Keywords
Combination forecasting, Interval-valued carbon price, Hybrid interval multi-scale decomposition, SVR, LSTM
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 191, Issue -, Pages 116267
Publisher
Elsevier BV
Online
2021-12-04
DOI
10.1016/j.eswa.2021.116267
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A hybrid model for carbon price forecasting using GARCH and long short-term memory network
- (2021) Yumeng Huang et al. APPLIED ENERGY
- 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
- Analysis and Forecasting of the Carbon Price in China’s Regional Carbon Markets Based on Fast Ensemble Empirical Mode Decomposition, Phase Space Reconstruction, and an Improved Extreme Learning Machine
- (2019) Wei Sun et al. Energies
- 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
- Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors
- (2019) Meng Han et al. ENERGY
- A decomposition–integration model with dynamic fuzzy reconstruction for crude oil price prediction and the implications for sustainable development
- (2019) Jian Chai et al. JOURNAL OF CLEANER PRODUCTION
- A combined forecasting model for time series: Application to short-term wind speed forecasting
- (2019) Zhenkun Liu et al. APPLIED ENERGY
- A hybrid deep learning model for short-term PV power forecasting
- (2019) Pengtao Li et al. APPLIED ENERGY
- Carbon trading volume and price forecasting in China using multiple machine learning models
- (2019) Hongfang Lu et al. JOURNAL OF CLEANER PRODUCTION
- 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
- A semi-heterogeneous approach to combining crude oil price forecasts
- (2018) Jue Wang et al. INFORMATION SCIENCES
- A game theoretic approach for pricing, greening, and social welfare policies in a supply chain with government intervention
- (2018) Mohammadreza Sinayi et al. JOURNAL OF CLEANER PRODUCTION
- 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
- Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach
- (2018) Bangzhu Zhu 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
- Forecasting Chinese carbon emissions from fossil energy consumption using non-linear grey multivariable models
- (2017) Zheng-Xin Wang et al. JOURNAL OF CLEANER PRODUCTION
- A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks
- (2016) Guoqiang Sun et al. Energies
- Improving short term load forecast accuracy via combining sister forecasts
- (2016) Jakub Nowotarski et al. ENERGY
- Solar power output forecasting using evolutionary seasonal decomposition least-square support vector regression
- (2016) Kuo-Ping Lin et al. JOURNAL OF CLEANER PRODUCTION
- Study of carbon dioxide emissions prediction in Hebei province, China using a BPNN based on GA
- (2016) Wei Sun et al. Journal of Renewable and Sustainable Energy
- Investigation of the noise effect on fractal dimension of EEG in schizophrenia patients using wavelet and SSA-based approaches
- (2015) Saime Akdemir Akar et al. Biomedical Signal Processing and Control
- Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model
- (2015) Xinghua Fan et al. EXPERT SYSTEMS WITH APPLICATIONS
- Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms
- (2015) Tao Xiong et al. INFORMATION SCIENCES
- Long memory in international financial markets trends and short movements during 2008 financial crisis based on variational mode decomposition and detrended fluctuation analysis
- (2015) Salim Lahmiri PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Variational Mode Decomposition
- (2014) Konstantin Dragomiretskiy et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Carbon Price Analysis Using Empirical Mode Decomposition
- (2013) Bangzhu Zhu et al. Computational Economics
- Multiscale Image Fusion Using Complex Extensions of EMD
- (2009) D. Looney et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Modeling of wheat soaking using two artificial neural networks (MLP and RBF)
- (2008) M. Kashaninejad et al. JOURNAL OF FOOD ENGINEERING
- Interval Time Series Analysis with an Application to the Sterling-Dollar Exchange Rate
- (2008) Ai HAN et al. Journal of Systems Science & Complexity
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search