In recent years, due to the wide utilization of direct current (DC) power sources, such as
solar photovoltaic (PV), fuel cells, different DC loads, high-level integration of different …

Forecasting renewable energy efficiency significantly impacts system management and
operation because more precise forecasts mean reduced risk and improved stability and …

In this paper, the author proposes a fault diagnosis technique for the analysis of thermal
images of commutator motors (CMs) and single-phase induction motors (SIMs). The aim of …

With the rapid development of smart grids and distributed energy sources, the home energy
management system (HEMS) is becoming a hot topic of research as a hub for connecting …

Abstract Information technologies involving artificial Intelligence, big data, Internet of Things
devices and blockchain have been developed and implemented in many engineering fields …

In recent years, digitalisation has rendered machine learning a key tool for improving
processes in several sectors, as in the case of electrical power systems. Machine learning …

The main and pivot part of electric companies is the load forecasting. Decision-makers and
think tank of power sectors should forecast the future need of electricity with large accuracy …

Nowadays, direct current (DC) microgrid is gaining importance due to the wide utilization of
DC loads, integration of solar photovoltaic (PV) and energy storage devices, and no …

Timely and accurate detection of transmission line faults is one of the most important issues
in the reliability of the power systems. In this paper, in order to assess the effects of …

The modern-day urban energy sector possesses the integrated operation of various
microgrids located in a vicinity, named cluster microgrids, which helps to reduce the utility …