Progress of PV cell technology: Feasibility of building materials, cost, performance, and stability
Recently, the demand for PV technology by various sectors, including the public domain,
industry, and space technology, has significantly increased. The feasibilities of existing PV …
industry, and space technology, has significantly increased. The feasibilities of existing PV …
Fault diagnosis of photovoltaic modules using deep neural networks and infrared images under Algerian climatic conditions
The number of decentralized photovoltaic (PV) systems generating electricity has increased
significantly, and its monitoring and maintenance has become a challenge in terms of …
significantly, and its monitoring and maintenance has become a challenge in terms of …
A comprehensive review on multilevel inverters for grid-tied system applications
Multi-level inverters (MLIs) have been widely used in recent years due to their various
advantages in industrial and grid-connected applications. Traditional MLI topologies are …
advantages in industrial and grid-connected applications. Traditional MLI topologies are …
Degradation and energy performance evaluation of mono-crystalline photovoltaic modules in Egypt
Degradation reduces the capability of solar photovoltaic (PV) production over time. Studies
on PV module degradation are typically based on time-consuming and labor-intensive …
on PV module degradation are typically based on time-consuming and labor-intensive …
[HTML][HTML] Automatic detection of visual faults on photovoltaic modules using deep ensemble learning network
The present study proposes an ensemble-based deep neural network (DNN) model for
autonomous detection of visual faults such as glass breakage, burn marks, snail trail, and …
autonomous detection of visual faults such as glass breakage, burn marks, snail trail, and …
Effects of light, heat and relative humidity on the accelerated testing of photovoltaic degradation using Arrhenius model
Energy demands in Nigeria has increased tremendously over the past decade due to the
increasing levels of industrialization and population size. This has led to a higher reliance …
increasing levels of industrialization and population size. This has led to a higher reliance …
[HTML][HTML] Evaluation of degradation energy productivity of photovoltaic installations in long-term case study
P Olczak - Applied Energy, 2023 - Elsevier
In the last twenty years, photovoltaic installations have become a popular form of renewable
energy sources, both in Europe and around the world. One of the European pioneers in this …
energy sources, both in Europe and around the world. One of the European pioneers in this …
Weightless neural network-based detection and diagnosis of visual faults in photovoltaic modules
NV Sridharan, JV Joseph, S Vaithiyanathan, M Aghaei - Energies, 2023 - mdpi.com
The present study introduces a novel approach employing weightless neural networks
(WNN) for the detection and diagnosis of visual faults in photovoltaic (PV) modules. WNN …
(WNN) for the detection and diagnosis of visual faults in photovoltaic (PV) modules. WNN …
Multi‐pronged degradation analysis of a photovoltaic power plant after 9.5 years of operation under hot desert climatic conditions
Long‐term reliability assessment of photovoltaic (PV) modules is key to ensuring the
economic viability of PV systems. This paper presents a multi‐pronged performance …
economic viability of PV systems. This paper presents a multi‐pronged performance …
Reliability and Criticality Analysis of a Large-Scale Solar Photovoltaic System Using Fault Tree Analysis Approach
Solar Photovoltaic (PV) systems typically convert solar irradiance into electricity, thereby
helping to reduce the need for fossil fuels and the amount of greenhouse gases released …
helping to reduce the need for fossil fuels and the amount of greenhouse gases released …