Artificial intelligence and machine learning are transforming scientific disciplines, but their
full potential for climate change mitigation remains elusive. Here, we conduct a systematic …

Abstract Vehicle-to-grid (V2G) refers to efforts to bi-directionally link the electric power
system and the transportation system in ways that can improve the sustainability and …

Increasing the adoption of energy efficient technologies by households is one of the
formulated strategies to reduce greenhouse gas emissions. This paper presents a …

The history of the automotive industry was initially linked to electricity. However, the
combustion engines would become the dominant paradigm later. Nowadays, because of …

Electrification of transport industry in China presents several new prospects to fulfil
requirements, which are necessary to encounter increasing issues of energy security, air …

Strategies to mitigate global climate change should be grounded in a rigorous
understanding of energy systems, particularly the factors that drive energy demand. Agent …

With increasing attention paid to the application of agent-based modeling in decision-
making issues, a large number of related studies have been published in management …

This research contributes to discussions about policy interventions to stimulate the transition
of vehicle technology. Concentrating on passenger cars, an extensive system dynamics …

Agent-based modeling (ABM) involves developing models in which agents make adaptive
decisions in a changing environment. Machine-learning (ML) based inference models can …

Electric vehicles (EVs) are still a maturing technology. Barriers to their adoption include price
and range anxiety. EV batteries are significant in determining both EV prices and costs. In …