Area of research
Economics and Econometrics · Environmental Engineering
Research interest
Research interests include Greenhouse gas, China, Carbon fibers, Computer science, Economics, and Renewable energy.
EV-integrated and grid-connected hybrid renewable energy system: a two-stage optimization strategy
Decoding wind power uncertainty: A Bayesian-optimized machine learning approach for multi-timescale dynamic transitions
Evaluating drivers of PM2.5 air pollution at urban scales using interpretable machine learning
An ensemble learning framework for rooftop photovoltaic project site selection
Integrated machine learning methods with oversampling technique for regional suitability prediction of waste-to-energy incineration projects
Regional suitability assessment for straw-based power generation: A machine learning approach
Carbon-economic inequality in global ICT trade
Prediction of Carbon Dioxide Emissions in China Using Shallow Learning with Cross Validation
Literature review on renewable energy development and China’s roadmap
How information and communication technology drives carbon emissions: A sector-level analysis for China
Who shapes China's carbon intensity and how? A demand-side decomposition analysis
Industrial SO2 emissions treatment in China: A temporal-spatial whole process decomposition analysis
Contributions to sector-level carbon intensity change: An integrated decomposition analysis
Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach
Inter-industrial Carbon Emission Transfers in China: Economic Effect and Optimization Strategy
A review of carbon labeling: Standards, implementation, and impact
Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities
Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis
Effects of carbon emission transfer on economic spillover and carbon emission reduction in China