The current electric power system witnesses a significant transition into Smart Grids (SG) as
a promising landscape for high grid reliability and efficient energy management. This …

Nowadays, single-dc-source multilevel inverter (SDCS-MLI) topologies are being
considered as more suitable for many power system applications such as renewable energy …

In this article, a trained artificial neural network (ANN) input-output feedback linearization
(IOFL) control strategy is proposed for a grid-connected nine-level packed E-cell (PEC9) …

Currently, a two-level voltage source inverter (2L-VSI) is regarded as the cornerstone of
modern industrial applications. However, the control of VSIs is a challenging task due to …

An accurate definition of a system model significantly affects the performance of model-
based control strategies, for example, model predictive control (MPC). In this paper, a model …

Renewable and distributed energy generation includes wind turbines, fuel cells, solar cells,
and batteries. These distributed energy sources need special power converters in order to …

This chapter addresses the status of artificial intelligence (AI) as a central element in smart
grid (SG) while focusing on the recent progress of research on machine learning techniques …

To continue to protect and inherit the cultural landscape heritage of traditional villages,
starting from the perspective of artificial intelligence (AI), literature review methods are used …

This paper proposes a finite control set model predictive control (FCS-MPC) with a reduced
computational burden for a single-phase grid-connected modified packed U-cell multilevel …

In the conventional finite control set model predictive torque control, the cost function
consists of different control objectives with varying units of measurements. Due to presence …