[HTML][HTML] Soiling loss in solar systems: A review of its effect on solar energy efficiency and mitigation techniques

ML Adekanbi, ES Alaba, TJ John, TD Tundealao… - Cleaner Energy …, 2024 - Elsevier
To address the need for enhancing the efficiency and harnessing the full potential of solar
energy systems, this research aims to investigate mitigating solar energy losses, thereby …

Comprehensive review of dust properties and their influence on photovoltaic systems: Electrical, optical, thermal models and experimentation techniques

H Almukhtar, TT Lie, WAM Al-Shohani, T Anderson… - Energies, 2023 - mdpi.com
As conventional energy sources decrease and worldwide power demand grows, the appeal
of photovoltaic (PV) systems as sustainable and ecofriendly energy sources has grown. PV …

Football player injury full-cycle management and monitoring system based on blockchain and machine learning algorithm

C Pu, J Zhou, J Sun, J Zhang - International Journal of Computational …, 2023 - Springer
Football injuries are the most common factor affecting a football player's performance, and
the last thing a football player wants. To understand the causes of football players' injuries …

A Techno-Economic Review of Dust Accumulation and Cleaning Techniques for Solar Energy Harvesting Devices

AB Ahmadullah, A Al-Sharafi, G Hassan… - Arabian Journal for …, 2024 - Springer
Solar energy is a promising and sustainable natural resource that can be harnessed through
solar harvesting devices such as photovoltaic (PV) cells and concentrating solar collectors …

A comprehensive review of the soiling effects on PV module performance

MJ Alshareef - IEEE Access, 2023 - ieeexplore.ieee.org
Photovoltaic (PV) systems are a popular renewable energy source globally, owing to their
beneficial environmental and economic properties. However, their efficiency is impacted by …

[HTML][HTML] Optimizing breast cancer diagnosis: Harnessing the power of nature-inspired metaheuristics for feature selection with soft voting classifiers

S Benghazouani, S Nouh, A Zakrani - International Journal of Cognitive …, 2025 - Elsevier
Breast cancer is a widespread and serious condition that poses a significant threat to
women's health globally, contributing significantly to mortality rates. Machine learning tools …

Prediction of Chloride Diffusion Coefficient in Concrete Based on Machine Learning and Virtual Sample Algorithm

FY Zhou, NJ Tao, YR Zhang, WB Yuan - Sustainability, 2023 - mdpi.com
The durability degradation of reinforced concrete was mainly caused by chloride ingress.
Former studies have used component parameters of concrete to predict chloride diffusion by …

Predicting hourly electricity consumption of chillers in subway stations: A comparison of support vector machine and different artificial neural networks

H Yin, Z Tang, C Yang - Journal of Building Engineering, 2023 - Elsevier
It is essential to predicting the electricity consumption of air-conditioning systems. In this
study, three models, namely, backpropagation neural network (BPNN), cascade correlation …

[PDF][PDF] Electro-Optical Model of Soiling Effects on Photovoltaic Panels and Performance Implications.

A Asbayou, GP Smestad, I Ismail, A Soussi… - Energy …, 2024 - solideas.com
In this paper, a detailed model of a photovoltaic (PV) panel is used to study the accumulation
of dust on solar panels. The presence of dust diminishes the incident light intensity …

Optimizing Microgrid Management with Intelligent Planning: A Chaos Theory-Based Salp Swarm Algorithm for Renewable Energy Integration and Demand Response

F Zhao - Computers and Electrical Engineering, 2024 - Elsevier
This paper presents a novel intelligent planning approach to optimize microgrid
management with multiple random renewable energy sources. The key contribution is a …