Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

Abstract Machine learning (ML) is generating new opportunities for innovative research in
energy economics and finance. We critically review the burgeoning literature dedicated to …

Abstract The Russia-Ukraine War, which has lasted for over a year, has been proven to
significantly impact crude oil prices. This article aims to explore the channels through which …

Humanitarian aid in disasters is critical to saving lives and alleviating human suffering. This
paper presents a novel scenario-based robust bi-objective optimization model that …

Forecasting carbon price accurately is of great significance to ensure the healthy
development of the carbon market. However, due to the non-linearity, non-stationarity, and …

Short-term load forecasting is crucial for power demand-side management and the planning
of the power system. Considering the necessity of interval-valued time series modeling and …

There are various uncertainties post-disaster relief logistics, it is essential to optimize
emergency logistics to provide timely and effective medical service in such emergency …

Aiming at the limitations of carbon price point forecasting, we propose a novel integrated
approach of binary empirical mode decomposition (BEMD), differential evolution (DE) …

The proposed targets to achieve peak carbon before 2030 and carbon neutrality before
2060 would require China to accelerate the development of natural gas infrastructure. The …

Accurate carbon price forecasting is of great significance for policy-makers and market
participants. However, previous studies only focus on point-valued forecasting and ignore …