The aim of this work is to develop a prediction method for renewable energy sources in
order to achieve an intelligent management of a microgrid system and to promote the …

In recent decades, and in order to develop applications covering several areas of
knowledge, different researchers have been performing hardware implementations around …

This paper presents an analytical study and hardware-in-loop (HIL) cosimulation design of a
grid-connected inverter system with a combinational robust observer-based modified …

This paper investigates the performance of deep convolutional spiking neural networks
(DCSNNs) trained using spike-based backpropagation techniques. Specifically, the study …

This paper presents a fast state estimator and a corresponding bad data (BD) processing
architecture aimed at improving computational efficiency and maintaining high estimation …

This paper presents a new hybrid adaptive filter based on modified Gauss-Newton adaptive
linear element (MGNA) for estimating the fundamental and harmonic phasors along with the …

The extensive use of grid-connected power electronics converters in the most different
conditions, eg, grid voltage quality, power level and grid codes, requires a robust …

Paralleled operation of voltage-source inverters (VSIs) is currently achieved by using
voltage/frequency droop control techniques which requires the knowledge of the system …

The novel scenario of power systems with massive utilization of distributed generation (DG)
imposes that islanding detection methods for voltage source inverter (VSI)-interfaced DGs …

This paper presents the development of a power interface for a fuel cell (FC) system
supplying an ac load. The proposed system comprises a two stages conditioning system …