## 1 _Editorial_
### 1.1 _Applied_
According to the authors,the proposed solution can be successfully applied to electric vehicles, high-power electrical traction, rapid-battery-charging applications, and chemical electrolysis processes. The research in [11] provides a theoretical design for transformer winding resistance under short-circuit conditions. The damping, stiffness, and mass parameters between windings are comprehensively considered, and a classical \"mass-spring-damping\" axial vibration mathematical model of transformer windings is established, yielding a more detailed and refined mode shape structure compared with the previous V-type and M-type mode shapes. In addition, the authors analyze the displacement and acceleration distributions of the model when a transformer with different damping ratios is short circuited at different frequencies. In [12], the authors propose a fault diagnosis method based on a gradient-boosting decision tree (GBDT) to improve the efficiency of the protection systems in an intelligent substation. This method presents a higher fault diagnosis accuracy compared with the existing methods based on recurrent neural networks and random forest algorithms. Additionally, the GBDT algorithm also performs very well when faced with inadequate data (e.g., false alarms of fault information and multiple faults), allowing the authors to conclude that it can play a better role in practical applications. In [13], a novel method is introduced to facilitate the selection process of the generators in a ship power plant. This method uses different parameters related to the life-cycle costs of engines and the operating routines of ships along with other cost factors such as flat annual cost, maintenance, personnel, or the acquisition and installation costs. The results provide valuable insight into the total cost from every aspect and present the optimum generator for minimal expenditure and a maximum return of investment. The state-of-the-art technology for energy harvesting (EH) used in wireless sensors that acquire real-time electrical data in transmission lines is reviewed and analyzed in [14]. Although EH systems for transmission lines are reviewed therein, many other applications could potentially benefit from introducing wireless sensors with an EH capacity, such as power transformers, distribution switches, or low- and medium-voltage power lines, among others. The authors conclude that, among the different existing energy harvesting methods, there is not a universal solution since the most suitable EH system depends on the characteristics of each application, such as the geographical location, the intensity of the current flowing in the line, or the line's voltage. Since renewable generators are usually connected to an electrical power system through power electronic converters lacking natural responses to frequency variations, [15] focuses on proposing a solution based on advanced controls that allow such generators to participate in frequency control. Particularly, this paper studies the benefits of introducing power reserve control in photovoltaic generators and extended optimal power-point-tracking control in wind generators to provide frequency control in low-inertia power systems and for the interactions between them. The results show that these control systems help in stabilizing system frequency thanks to the cooperative action of both types of renewable generators. In [16], a novel triple phase shift (TPS) closed-loop control scheme of a dual active bridge (DAB) LCC resonant DC/DC converter is presented to perform the unity power factor operation of wireless charging at an optimized rectifier AC load resistance. The primary-side inverter phase shift angle regulates the battery charging current/voltage, while the secondary side rectifier phase shift angle controls the rectifier AC load resistance to match its optimized settings. Finally, the inverter-to-rectifier phase shift angle is set to achieve the unity power factor operation of a DAB rectifier and inverter.