Forecasting the carbon price sequence in the Hubei emissions exchange using a hybrid model based on ensemble empirical mode decomposition

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

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

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

(2019) Meng Han et al.   ENERGY

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

(2019) Chengshi Tian et al.   APPLIED MATHEMATICAL MODELLING

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

A review of China’s carbon trading market

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

Predicting the Carbon Price Sequence in the Shenzhen Emissions Exchange Using a Multiscale Ensemble Forecasting Model Based on Ensemble Empirical Mode Decomposition

(2018) Jianguo Zhou et al.   Energies

The research on setting a unified interval of carbon price benchmark in the national carbon trading market of China

(2015) Wei Li et al.   APPLIED ENERGY

Case study on initial allocation of Shanghai carbon emission trading based on Shapley value

(2015) Zhenliang Liao et al.   JOURNAL OF CLEANER PRODUCTION

Carbon Price Analysis Using Empirical Mode Decomposition

(2013) Bangzhu Zhu et al.   Computational Economics

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

Carbon footprint of China's crop production—An estimation using agro-statistics data over 1993–2007

(2011) Kun Cheng et al.   AGRICULTURE ECOSYSTEMS & ENVIRONMENT