Off-grid solar PV: Is it an affordable or appropriate solution for rural electrification in Sub-Saharan African countries?

S Baurzhan, GP Jenkins - Renewable and Sustainable Energy Reviews, 2016‏ - Elsevier
With insolation levels ranging from 4 to 7 kW h/m 2/day, the African continent receives a
higher amount of solar energy on its surface than the rest of the world. Hence, investments in …

Recent advances in failure diagnosis techniques based on performance data analysis for grid-connected photovoltaic systems

A Livera, M Theristis, G Makrides, GE Georghiou - Renewable energy, 2019‏ - Elsevier
Over the last decade, research into photovoltaic (PV) technology has shifted from a race for
the highest efficiency to the increase of the performance reliability in the field. A major part of …

A machine learning framework to identify the hotspot in photovoltaic module using infrared thermography

MU Ali, HF Khan, M Masud, KD Kallu, A Zafar - Solar Energy, 2020‏ - Elsevier
In this paper, a hybrid features based support vector machine (SVM) model is proposed
using infrared thermography technique for hotspots detection and classification of …

An IoT based smart solar photovoltaic remote monitoring and control unit

S Adhya, D Saha, A Das, J Jana… - 2016 2nd international …, 2016‏ - ieeexplore.ieee.org
Using the Internet Of Things Technology for supervising solar photovoltaic power generation
can greatly enhance the performance, monitoring and maintenance of the plant. With …

Research and current status of the solar photovoltaic water pum** system–A review

G Li, Y **, MW Akram, X Chen - Renewable and Sustainable Energy …, 2017‏ - Elsevier
Water and energy are the key drivers of agricultural production while the world is facing
severe energy and water crisis. Increasing crop production per unit area for the increasing …

A supervised ensemble learning method for fault diagnosis in photovoltaic strings

C Kapucu, M Cubukcu - Energy, 2021‏ - Elsevier
This study proposes a fault diagnosis method based on the use of a machine learning (ML)
technique called ensemble learning (EL) for photovoltaic (PV) systems. EL methods aim to …

[PDF][PDF] Internet of things-based photovoltaics parameter monitoring system using NodeMCU ESP8266.

T Sutikno, HS Purnama, A Pamungkas… - International Journal of …, 2021‏ - academia.edu
The use of the internet of things (IoT) in solar photovoltaic (PV) systems is a critical feature
for remote monitoring, supervising, and performance evaluation. Furthermore, it improves …

A review of photovoltaic module technologies for increased performance in tropical climate

OO Ogbomo, EH Amalu, NN Ekere… - … and Sustainable Energy …, 2017‏ - Elsevier
The global adoption and use of photovoltaic modules (PVMs) as the main source of energy
is the key to realising the UN Millennium Development Goals on Green Energy. The …

Performance evaluation of photovoltaic systems on Kuwaiti schools' rooftop

A Al-Otaibi, A Al-Qattan, F Fairouz, A Al-Mulla - Energy Conversion and …, 2015‏ - Elsevier
Photovoltaic (PV) is a high-potential renewable energy technology for Kuwait to pursue due
to high daily irradiation, and has garnered local attention in recent years due to the growing …

Review of life cycle analyses and embodied energy requirements of single-crystalline and multi-crystalline silicon photovoltaic systems

JH Wong, M Royapoor, CW Chan - Renewable and sustainable energy …, 2016‏ - Elsevier
While photovoltaic (PV) technology is considered a renewable energy source, it nonetheless
has a degree of environmental impact. In order to completely capture the net environmental …