Most of the micro-grids require solar photovoltaic (PV) panels to convert sunlight to electrical
energy. The electrical energy converted by the PV panel is DC while most of the applications …

Photovoltaic (PV) array analytics and control have become necessary for remote solar farms
and for intelligent fault detection and power optimization. The management of a PV array …

This paper presents an intelligent-based fault-tolerant system for a solar photovoltaic (PV)
inverter. Artificial neural network based controller is used to monitor, detect, and diagnose …

Automatic detection of solar array faults reduces maintenance costs and increases
efficiency. In this paper, we address the problem of fault detection, localization, and …

Reconfiguring photovoltaic (PV) array connections among different topologies such as
series-parallel, bridge-link, honeycomb, or total-cross-tied is a popular strategy to mitigate …

In this paper, we describe solar array monitoring using various machine learning methods
including neural networks. We study fault detection using a quantum computer system and …

An increase in grid-connected photovoltaic arrays creates a need for efficient and reliable
fault detection. In this paper, machine learning strategies for fault detection are presented …

This paper describes three methods used in the development of a utility-scale solar cyber-
physical system. The study describes remote fault detection using machine learning …

A distributed spectral clustering algorithm to group sensors based on their location in a
wireless sensor network (WSN) is proposed. For machine learning and data mining …

A cyber physical system approach for a utility-scale photovoltaic (PV) array monitoring and
control is presented in this article. This system consists of sensors that capture voltage …