Abstract Key Enabling Technologies (KETs) are pervasive groups of technologies expected
to enable innovation. They have been promoted as technologies with tremendous potential …

The electric arc furnace has been the subject of extensive research due to its complex and
chaotic nature. Machine learning methods provide a powerful forensic examination of …

Electric arc furnaces (EAFs) are important appliances in the steelmaking industry, but they
are characterized by a nonlinear, dynamic, and stochastic nature. Due to this fact, EAFs can …

Electric arc furnaces (EAFs) are widely used in the steel production and recycling process.
However, their application is associated with various power quality problems whose …

The synthesis of a real-time model of the electric mode of an arc steelmaking furnace is
shown. This model is based on the method of medium-voltage and can be used to analyze …

Arc furnaces, due to their high unit power and load nature, belong to the receivers affecting
the power quality. A dynamically changing electric arc is the main source of disturbances …

Abstract Electric Arc Furnaces (EAFs) account for almost half of the North American steel
production. Arc furnaces draw high and dynamic electrical power to melt scrap metal loads …

In recent years, non-linear loads on the distribution side are increasing rapidly. Notably, the
electric arc furnace (EAF) is the most used non-linear load due to its diverse applications for …

With the improvement of computer computing power and the development of big data
technology, neural networks have rapidly developed and been effectively applied in multiple …

The world steel industry is highly dependent on the use of electric arc furnaces (EAFs). The
application of the electric arc phenomenon causes many power quality (PQ) problems, such …