Opinion dynamics is an opinion evolution process of a group of agents, where the final opinion distribution tends to three stable states: consensus, polarization, and fragmentation. At present, the opinion dynamics models have been extensively studied in differrent fields. This paper provides a...

This study provides a comprehensive review of machine learning (ML) applications in the fields of business and finance. First, it introduces the most commonly used ML techniques and explores their diverse applications in marketing, stock analysis, demand forecasting, and energy marketing. In...

Opinion dynamics is an opinion evolution process of a group of agents, where the final opinion distribution tends to three stable states: consensus, polarization, and fragmentation. At present, the opinion dynamics models have been extensively studied in differrent fields. This paper provides a...

Accurate electric load forecasting has become the most important issue in energy management; however, electric load demonstrates a seasonal/cyclic tendency from economic activities or the cyclic nature of climate. The applications of the support vector regression (SVR) model to deal with...

Battery electric buses (BEBs) are rapidly being embraced by public transit agencies due to their sustainable and economic benefits. At this stage, the insufficient number of charging piles and the unreasonable allocation of charging resources are highlighted，which seriously affect the safety...

Battery electric buses (BEBs) are rapidly being embraced by public transit agencies due to their sustainable and economic benefits. At present, due to the insufficient number of charging piles and the unreasonable allocation of charging resources, such phenomena as BEBs charging congestion and...