Digital twin for the industrial Internet of Things (DT-IIoT) creates a high-fidelity, fine-grained,
low-cost digital replica of the cyber-physical integrated Internet for industry. Powered by …

Innovative solutions targeting improvements in the behavior of energy consumers will be
required to achieve desired efficiency in the use of energy. Among other measures for …

The use of artificial intelligence (AI) is increasing in various sectors of photovoltaic (PV)
systems, due to the increasing computational power, tools and data generation. The …

Digital twin is a technology that integrates multi-physical, multi-scale, and multi-disciplinary
attributes. At the same time, it has the characteristics of real-time synchronization, faithful …

Load forecasting is a crucial task, which is carried out by utility companies for sake of power
grids' successful planning, optimized operation and control, enhanced performance, and …

Beyond fifth generation (B5G) communication networks and computation paradigms in the
edge are expected to be integrated into power grid infrastructures over the coming years. In …

The steady increase in energy demands has led to ever-increasing “energy generation.”
This, coupled with the need for higher efficiency, flexibility, and reliability, has boosted the …

The proliferation of cyber-physical systems is driving the growing need to establish links
between these systems and virtual environments. Particularly in the smart grid, the high …

The growing interest in Digital Twin (DT) Technology represents a significant advancement
in academic research and industrial applications. Leveraging advancements in Internet of …

A two-stage machine learning-based approach for creating synthetic phasor measurement
unit (PMU) data is proposed in this article. This approach leverages generative adversarial …