At present, the new energy vehicle (NEV) industry in China is at a huge risk of overheated
investment and overcapacity. An accurate prediction of China's future NEV market is of great …

As a novel trading mode, the peer-to-peer (P2P) energy market cannot be accepted by the
end-users immediately. There is an adoption process before all the energy prosumers …

Environmental pollution associated with emissions from conventional fuel vehicles is
beginning to become increasingly serious. To decrease the dependence on oil and …

Electrified vehicle (EV) are increasingly being adopted worldwide, making them promising
elements in the decarbonisation process of the automotive sector. However, forecasting EV …

An accurate prediction of electric vehicles stock and sales is a prerequisite for planning
industrial policies for renewable sources to be used by a transportation system. We propose …

Electric vehicles (EVs) have emerged as a sustainable option for maintaining ecological
balance. Extant literature identified a limited set of enablers of EV sales and mostly …

The significant proliferation of AI-empowered systems and machine learning (ML) across
various examined domains underscores the vital necessity for comprehensive and …

The shortage of charging piles and the soaring power demand of charging stations will lead
to long waiting times for electric vehicles (EVs) that need to accomplish charging tasks. Most …

In the context of the growing popularity of electric cars, it is important to track the
sustainability of this emerging industry. This work presents the results of electric vehicle …

Reducing the carbon emissions from trucks is critical to achieving the carbon peak of road
freight. Based on the prediction of truck population and well-to-wheel (WTW) emission …