Purpose The Industry 4.0 phenomenon is bringing unprecedented disruptions for all
traditional business models and hastening the need for a redesign and digitisation of …

Predictive maintenance is an essential aspect of microgrid operations as it enables
identifying potential equipment failures in advance, reducing downtime, and increasing the …

Applying artificial intelligence (AI), machine learning (ML), and big data to natural resource
management (NRM) is revolutionizing how natural resources are managed. To gain more …

Purpose The Industry 4.0 phenomenon offers opportunities and challenges to all business
models. Despite the literature advances in this field, little attention has been paid to the …

The rise of artificial intelligence (AI), blockchain (BC), and the internet of things (IoT) has had
significant applications in the advancement of sustainability research. This review examines …

The prospering Big data era is emerging in the power grid. Multiple world-wide studies are
emphasizing the big data applications in the microgrid due to the huge amount of produced …

Purpose Big data has posed problems for businesses, the Information Technology (IT)
sector and the science community. The problems posed by big data can be effectively …

This paper uses bibliometrics to characterize the knowledge systems of big data, artificial
intelligence (AI), and energy based on the Science Citation Index Extension (SCI-E) and …

The Internet of Things (IoT) is a ubiquitous network that interconnects and integrates the
devices and cyberspace to enable the smart objects. It lays a platform to collect, process …

With the development of the internet of things, which is widely applied not only to everyday
objects but also to industrial areas, the production of big data is accelerating. To provide …