Power transformer is one of the most expensive and pivotal electrical equipment among all
connected network apparatuses. Various electrical, mechanical, thermal, and chemical …

The Industrial Internet of Things (IIoT), consisting of a large number of self-organized
sensors, is one of the prominent representatives of zero touch networks, which will be widely …

This work examines the application of machine learning (ML) algorithms to evaluate
dissolved gas analysis (DGA) data to quickly identify incipient faults in oil-immersed …

Substation outages would need to be considered as part of resilience enhancement in
distribution power systems. This article proposes an optimal capacity planning model for …

Purpose Taking into consideration the current human need for agricultural produce such as
rice that requires water for growth, the optimal consumption of this valuable liquid is …

Due to the difficulties of system modeling, nonlinearity effects, uncertainties, and the
availability of Wind Turbines (WTs) SCADA system data, data‐driven Fault Detection and …

The wrong line-transformer relationship is one of the main reasons that leads to the failure of
the line loss assessment of the distribution network with voltage levels of 10 kV and below …

This article presents an ultramodern modelling algorithm for predicting the remnant cellulose
life cycle for oil-submerged power transformers based on the adaptive neuro-fuzzy …

The role of transformers in power distribution is crucial, as their reliable operation is
essential for maintaining the electrical grid's stability. Single-phase transformers are highly …

Monitoring ground displacements identifies potential geohazard risks early before they
cause critical damage. Interferometric synthetic aperture radar (InSAR) is one of the …