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 …

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 …

Structural health monitoring (SHM) in an electric arc furnace is performed in several ways. It
depends on the kind of element or variable to monitor. For instance, the lining of these …

In steel recycling, the optimization of Electric Arc Furnaces (EAFs) is of central importance in
order to increase efficiency and reduce costs. This study focuses on the optimization of …

In this research, we investigate the power quality of the grid where an Electric Arc Furnace
(EAF) with a very high load operates. An Electric Arc Furnace (EAF) is a highly nonlinear …

Steelmaking is one of the most energy-intensive industries, so improving control efficiency
helps to reduce the energy used to produce a tonne of steel. Mutual influences between the …

Electric arc furnaces (EAFs) are the largest loads in power systems and are characterized by
a significant negative influence on power quality. The modeling of EAFs provides the …

This paper presents new directions in the modeling of electric arc furnaces. This work is
devoted to an overview of new approaches based on random differential equations, artificial …

With the development of new energy technologies and business models, the operation and
monitoring methods of the Energy Internet (EI) have changed. The Energy Digital Twin …

Electric arc furnaces (EAF) can cause various power quality problems in power systems.
Because of that, it is important to investigate the electric arc phenomena and deepen the …