A review of machine learning applications in IoT-integrated modern power systems -
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The challenges currently faced by network operators are difficult and complex. Presently,
various types of energy sources with random generation, energy storage units operating in …

This study presents a new support vector machine (SVM)‐based identification method which
effectively discriminates between various types of fault and power swing conditions. Different …

In order to increase the power transfer and providing the optimum utilisation of the power
system capability, application of flexible alternating current transmission system (FACTS) …

Various unwanted phenomena that are taken place in the transformer may occasionally mal-
operate selected fault classification based protective schemes. Hence, it is necessary to …

This article presents relevance vector machine (RVM) based relaying scheme for busbar
protection which correctly differentiates between internal faults on busbar and external …

This paper recommends a fault distance estimation approach focusing on artificial
intelligence (AI) based techniques in combination with signal processing techniques …

This paper deals with the identification of single line-to-ground (LG) fault in a voltage source
controller based high voltage direct current (HVDC) link, monitoring the multi-resolution …

Reliable and dedicated protection of the transformer is the main requirement in the power
system due to the supervision of a highly expensive equipment transformer. Non‐linear …

The current commercial characteristics of the digital differential relays have many breakpoint
settings of time delay due to Current Transformer Saturation “CT-SAT” and error. This can …