A systematic literature review of the solar photovoltaic value chain for a circular economy

MA Franco, SN Groesser - Sustainability, 2021 - mdpi.com
As the solar photovoltaic market booms, so will the volume of photovoltaic (PV) systems
entering the waste stream. The same is forecast for lithium-ion batteries from electric …

Machine learning-based condition monitoring for PV systems: State of the art and future prospects

T Berghout, M Benbouzid, T Bentrcia, X Ma, S Djurović… - Energies, 2021 - mdpi.com
To ensure the continuity of electric power generation for photovoltaic systems, condition
monitoring frameworks are subject to major enhancements. The continuous uniform delivery …

Machine learning-and artificial intelligence-derived prediction for home smart energy systems with PV installation and battery energy storage

I Rojek, D Mikołajewski, A Mroziński, M Macko - Energies, 2023 - mdpi.com
Overview: Photovoltaic (PV) systems are widely used in residential applications in Poland
and Europe due to increasing environmental concerns and fossil fuel energy prices. Energy …

[HTML][HTML] Overview of fault detection approaches for grid connected photovoltaic inverters

A Malik, A Haque, VSB Kurukuru, MA Khan… - e-Prime-Advances in …, 2022 - Elsevier
Over the past few years, the power electronic converters have gained significant attraction
among researchers, especially as an interface between distributed generation (DG) systems …

Applications of IoT and digital twin in electrical power systems: A comprehensive survey

DEA Mansour, M Numair, AS Zalhaf… - IET Generation …, 2023 - Wiley Online Library
This paper reviews the applications of Internet of Things (IoT) and digital twin technology in
electrical power systems. It begins by discussing the generalized IoT value chain, followed …

A review on machine learning applications for solar plants

E Engel, N Engel - Sensors, 2022 - mdpi.com
A solar plant system has complex nonlinear dynamics with uncertainties due to variations in
system parameters and insolation. Thereby, it is difficult to approximate these complex …

Overview of intelligent inverters and associated cybersecurity issues for a grid-connected solar photovoltaic system

SN Vodapally, MH Ali - Energies, 2023 - mdpi.com
The major problem associated with the grid-connected solar photovoltaic (PV) system is the
integration of the generated DC power into the AC grid and maintaining the stability of the …

Energy yield estimation of on-vehicle photovoltaic systems in urban environments

N Rigogiannis, I Perpinias, I Bogatsis, I Roidos… - Renewable Energy, 2023 - Elsevier
Greenhouse gases from the propulsion systems of road transportations constitute a
significant obstacle to achieve the Paris Agreement objectives. Nowadays, the substitution of …

[HTML][HTML] A critical assessment of islanding detection methods of solar photovoltaic systems

AG Abo-Khalil, M Abdalla, RC Bansal… - Case Studies in Thermal …, 2023 - Elsevier
This study identifies inadvertent islanding in electrical networks incorporating Distributed
Generators (DGs). With the global rise of DG deployment, it becomes imperative to scrutinize …

A comprehensive review of the application of machine learning in fabrication and implementation of photovoltaic systems

S Datta, A Baul, GC Sarker, PK Sadhu… - IEEE Access, 2023 - ieeexplore.ieee.org
Solar energy is a promising source of renewable energy, but its low efficiency, instability,
and high manufacturing costs remain a big challenge. Recently, machine learning (ML) …