Rapid industrialization and its automation on the globe demands increased generation of
electrical energy with more reliability and quality. Renewable energy (RE) sources are …

In recent years, adaptive network-based fuzzy inference systems (ANFIS) applied in various
engineering fields have demonstrated their ability to combine the learning capability of …

This paper describes and evaluates an adaptive neuro-fuzzy inference system (ANFIS)-
based energy management system (EMS) of a grid-connected hybrid system. It presents a …

This article investigates the power quality enhancement of a grid-tied photovoltaic (PV)
distribution system by employing a fuzzy logic proportional-integrator-derivative multiple …

Artificial neural network (ANN) is becoming an attractive estimation and regression
technique in many control applications due to its parallel computing nature and high …

In this paper, the voltage regulation problem in low-voltage power distribution networks
integrated with increased amount of solar photovoltaics (PV) has been addressed. This …

This paper presents a discrete repetitive control technique for three-phase four wire (3P4W)
shunt active power filter (SAPF). Generally, the control design for power electronics devices …

Renewable energy sources (RES) are essential in the generation of electrical power,
especially for a grid-connected system. The power quality issues arise due to the integration …

This study proposes a practical solution to deal with challenges of integrating renewable
energy sources and electric vehicles into the electric grid, considering generation source …

This work proposes a linear generalized predictive current control (GPCC) for grid-
connected voltage-source inverters, which presents a fast response to current reference step …