Accurate power generation forecasting provides the basis of decision making for electric power industry development plans, energy conservation and environmental protection. Since the power generation time series are rarely purely linear or nonlinear, no single forecasting model can identify the...

Accurate forecasting of fossil fuel energy consumption for power generation is important and fundamental for rational power energy planning in the electricity industry. The least squares support vector machine (LSSVM) is a powerful methodology for solving nonlinear forecasting issues with small...

This paper unveils a systematic pattern in the People's Republic of China's (PRC) processing trade. In a cross-section of the PRC's provinces, the average distance traveled by processing imports (import distance) is negatively correlated with the average distance traveled by processing exports...

The digital economy plays a pivotal role in assisting the world in tackling climate change. This paper explores the intrinsic mechanism of the digital economy on carbon emissions intensity. Initially, it scrutinizes the suppressive effect of the digital economy on carbon emissions intensity, as...