A developed hybrid forecasting system for energy consumption structure forecasting based on fuzzy time series and information granularity

Drivers analysis and empirical mode decomposition based forecasting of energy consumption structure

(2020) Chenxia Xia et al.   JOURNAL OF CLEANER PRODUCTION

Inbound tourism demand forecasting framework based on fuzzy time series and advanced optimization algorithm

(2020) Ping Jiang et al.   APPLIED SOFT COMPUTING

The role of renewable energy technological innovation on climate change: Empirical evidence from China

(2019) Boqiang Lin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A novel energy consumption forecasting model combining an optimized DGM (1, 1) model with interval grey numbers

(2019) Jing Ye et al.   JOURNAL OF CLEANER PRODUCTION

Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model

(2019) Wenqing Wu et al.   RENEWABLE ENERGY

A combined forecasting model for time series: Application to short-term wind speed forecasting

(2019) Zhenkun Liu et al.   APPLIED ENERGY

Impact of China's economic growth and energy consumption structure on atmospheric pollutants: Based on a panel threshold model

(2019) Shijin Wang et al.   JOURNAL OF CLEANER PRODUCTION

Conventional models and artificial intelligence-based models for energy consumption forecasting: A review

(2019) Nan Wei et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

A novel hybrid genetic algorithm with granular information for feature selection and optimization

(2018) Hongbin Dong et al.   APPLIED SOFT COMPUTING

A hybrid model based on selective ensemble for energy consumption forecasting in China

(2018) Jin Xiao et al.   ENERGY

Energy consumption forecasting based on Elman neural networks with evolutive optimization

(2018) L.G.B. Ruiz et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

Carbon emissions from energy consumption in China: Its measurement and driving factors

(2018) Xiaojun Ma et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network

(2017) Yu-Rong Zeng et al.   ENERGY

A grey neural network and input-output combined forecasting model. Primary energy consumption forecasts in Spanish economic sectors

(2016) Xiuli Liu et al.   ENERGY

Energy structure change and carbon emission trends in China

(2016) Zheng Wang et al.   ENERGY

Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm

(2016) Hosein Abedinpourshotorban et al.   Swarm and Evolutionary Computation

A hybrid fuzzy time series model based on granular computing for stock price forecasting

(2015) Mu-Yen Chen et al.   INFORMATION SCIENCES

A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting

(2012) Ling Tang et al.   APPLIED ENERGY

Improving energy consumption structure: A comprehensive assessment of fossil energy subsidies reform in China

(2011) Wei Liu et al.   ENERGY POLICY

The impact of household consumption on energy use and CO2 emissions in China

(2010) Zhen-Hua Feng et al.   ENERGY

The relationship between energy consumption structure, economic structure and energy intensity in China

(2009) Taiwen Feng et al.   ENERGY POLICY