Purpose Predictive digital twin technology, which amalgamates digital twins (DT), the
internet of Things (IoT) and artificial intelligence (AI) for data collection, simulation and …

Artificial intelligence (AI) has become a transformative force across various disciplines,
including urban planning. It has unprecedented potential to address complex challenges. An …

This study contributes to the existing literature by investigating and confirming a range of
diverse outcomes related to the interplay of factors shaping the global energy transition (ET) …

Artificial intelligence (AI) can revolutionize production process by improving energy
efficiency, reducing costs, and developing green technology. Among the most important …

By fully leveraging the mitigating effect of artificial intelligence (AI) on renewable energy, the
supply chain vulnerability is referred to as the key to realizing the supply chain's safety …

The dual role of artificial intelligence (AI) in carbon emissions has come under scrutiny. The
feedback mechanism in the “AI-Carbon-Energy” system contains the enlightenment of …

The present study attempts to explore consumer-centric reasons affecting the adoption of
electric vehicles (EVs) are investigated using behavioural reasoning theory (BRT). Our study …

Exploring the role of artificial intelligence (AI) in renewable energy (RE) development is
pivotal for seizing technological opportunities and achieving climate objectives. This study …

In recent years, the economic impact and environmental contribution of Artificial Intelligence
(AI) have gradually become a new focus in academia. This study uses a panel data sample …

Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble
learning (EL) are four outstanding approaches that enable algorithms to extract information …