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Soiling is the accumulation of dirt in solar panels which leads to a decreasing trend in solar energy yield and may be the cause of vast revenue losses. The effect of soiling can be reduced by washing the panels, which is, however, a…

Signal Processing · Electrical Eng. & Systems 2023-01-31 Alexandros Kalimeris , Ioannis Psarros , Giorgos Giannopoulos , Manolis Terrovitis , George Papastefanatos , Gregory Kotsis

Soiling impacts the photovoltaic (PV) module performance by reducing the amount of light reaching the photovoltaic cells and by changing their external spectral response. Currently, the soiling monitoring market is moving toward optical…

This paper presents the results of an investigation on the spectral losses of photovoltaic (PV) soiling. The transmittance of a glass coupon exposed to natural soiling outdoors in Ja\'en, southern Spain, has been measured weekly and used to…

This paper presents an innovative method for automatically detecting dust accumulation on a PV system and notifying the user to clean it instantly. The accumulation of dust, bird, or insect droppings on the surface of photovoltaic (PV)…

The soiling level of heliostat mirrors in Concentrated Solar Power (CSP) fields is one of the key factors that significantly influences optical efficiency. State-of-the-art methods of monitoring heliostats soiling levels still face various…

Solar energy is one of the most abundant and tapped sources of renewable energies with enormous future potential. Solar panel output can vary widely with factors like intensity, temperature, dirt, debris and so on affecting it. We have…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Abishek Karthik , Sreya Mynampati , Pandiyaraju V

Solar Photovoltaic (PV) is increasingly being used to address the global concern of energy security. However, hot spot and snail trails in PV modules caused mostly by crakes reduce their efficiency and power capacity. This article presents…

Reflectance losses on solar mirrors due to soiling are a significant challenge for Concentrating Solar Power (CSP) plants. Soiling losses can vary significantly from site to site -- with (absolute) reflectance losses varying from fractions…

We provide a methodology for estimating the losses due to soiling for photovoltaic (PV) systems. We focus this work on estimating the losses from historical power production data that are unlabeled, i.e. power measurements with time stamps,…

Signal Processing · Electrical Eng. & Systems 2022-09-21 Bennet Meyers

Soiling, which consists of dust, dirt and particles accumulated on the surface of conventional or concentrator photovoltaic modules, absorbs, scatters, and reflects part of the incoming sunlight. Therefore, it reduces the amount of energy…

Systems and Control · Electrical Eng. & Systems 2021-03-03 Eduardo F. Fernandez , Daniel Chemisana , Leonardo Micheli , Florencia Almonacid

This paper presents a novel methodology for characterizing soiling losses through experimental measurements. Soiling predictions were obtained by calibrating a soiling model based on field measurements from a 50 MW modular solar tower…

Technologies for environmental and agricultural monitoring are on the rise, however, there is a lack of small, low-power, and lowcost sensing devices in the industry. One of these monitoring tools is a soil moisture sensor. Soil moisture…

Signal Processing · Electrical Eng. & Systems 2021-10-19 Daniel Kiv , Garvita Allabadi , Berkay Kaplan , Robin Kravets

The intermittent nature of photovoltaic (PV) solar energy, driven by variable weather, leads to power losses of 10-70% and an average energy production decrease of 25%. Accurate loss characterization and fault detection are crucial for…

Signal Processing · Electrical Eng. & Systems 2025-05-30 Nelson Salazar-Pena , Alejandra Tabares , Andres Gonzalez-Mancera

Soiling detection for automotive cameras is a crucial part of advanced driver assistance systems to make them more robust to external conditions like weather, dust, etc. In this paper, we regard the soiling detection as a semantic…

Computer Vision and Pattern Recognition · Computer Science 2025-11-14 Filip Beránek , Václav Diviš , Ivan Gruber

With the number of communicating sensors linked to the Internet of Things (IoT) ecosystem in-creasing dramatically, well-designed indoor light energy harvesting solutions are needed. The first step towards this development is to determine…

Signal Processing · Electrical Eng. & Systems 2022-01-04 Bastien Politi , Alain Foucaran , Nicolas Camara

Automotive cameras, particularly surround-view cameras, tend to get soiled by mud, water, snow, etc. For higher levels of autonomous driving, it is necessary to have a soiling detection algorithm which will trigger an automatic cleaning…

Computer Vision and Pattern Recognition · Computer Science 2020-07-03 Arindam Das , Pavel Krizek , Ganesh Sistu , Fabian Burger , Sankaralingam Madasamy , Michal Uricar , Varun Ravi Kumar , Senthil Yogamani

Deep understanding of a field's soil moisture content is the leading indicator for predicting crop yields and making data driven decisions for irrigation and application of topical chemicals for drought resilience. Despite this importance,…

Human-Computer Interaction · Computer Science 2026-04-30 Jack Thoene , Omar Kamil , Thekra Alkadee , Nivedita Arora

In the field of autonomous driving, camera sensors are extremely prone to soiling because they are located outside of the car and interact with environmental sources of soiling such as rain drops, snow, dust, sand, mud and so on. This can…

Computer Vision and Pattern Recognition · Computer Science 2019-11-22 Arindam Das

The exponential growth of global capacity along with a reduction in manufacturing costs in the last two decades has caused photovoltaic (PV) energy technology to reach a high maturity level. As a consequence, currently, researchers from all…

Cameras are an essential part of sensor suite in autonomous driving. Surround-view cameras are directly exposed to external environment and are vulnerable to get soiled. Cameras have a much higher degradation in performance due to soiling…

Computer Vision and Pattern Recognition · Computer Science 2019-07-18 Michal Uricar , Pavel Krizek , Ganesh Sistu , Senthil Yogamani
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