Photovoltaic (PV) fault detection and classification are essential in maintaining the reliability
of the PV system (PVS). Various faults may occur in either DC or AC side of the PVS. The …

Photovoltaic systems are prone to breaking down due to harsh conditions. To improve the
reliability of these systems, diagnostic methods using Machine Learning (ML) have been …

A number of disadvantages of traditional networks may be attributed to the close relationship
that exists between the control plane and the data plane inside proprietary hardware …

The use of solar energy has been rapidly expanding as a clean and renewable energy
source, with the installation of photovoltaic panels on homes, businesses, and large-scale …

Optimization techniques play a pivotal role in enhancing the performance of engineering
components across various real-world applications. Traditional optimization methods are …

Ground mobile robots can replace human beings to perform special tasks in threatened
areas. Path planning technology provides mobile robots with the ability to reach the target …

Cloud computing is a system that allows data to be saved in the cloud on a virtual worker.
Outsiders and virtual machines in the cloud worker supplier played a critical part in efficiently …

This work presents a robust and innovative technique implemented using an interval type 2
fuzzy logic controller (IT2-FLC) for a dual star induction generator (DSIG) based wind turbine …

Conventional fault detection methods in photovoltaic systems face limitations when dealing
with emerging monitoring systems that produce vast amounts of high-dimensional data …

The study of people's perspectives, evaluations, attitudes, and feelings in regard to objects
and the qualities of those entities is referred to as sentiment analysis. This research is …