Machine learning applications in health monitoring of renewable energy systems
Rapidly evolving renewable energy generation technologies and the ever-increasing scale
of renewable energy installations are driving the need for more accurate, faster, and smarter …
of renewable energy installations are driving the need for more accurate, faster, and smarter …
From efficiency to eternity: a holistic review of photovoltaic panel degradation and End-of-Life management
The most dependable part of photovoltaic (PV) power systems are PV modules. Under
normal operating conditions, the PV module will continue to function properly for 25 years …
normal operating conditions, the PV module will continue to function properly for 25 years …
Infrared imaging of photovoltaic modules: a review of the state of the art and future challenges facing gigawatt photovoltaic power stations
C Buerhop, L Bommes, J Schlipf, T Pickel… - Progress in …, 2022 - iopscience.iop.org
Thermography is a frequently used and appreciated method to detect underperforming
Photovoltaic modules in solar power stations. With the review, we give insights on two …
Photovoltaic modules in solar power stations. With the review, we give insights on two …
Performance and reliability improvement of partially shaded PV arrays by one-time electrical reconfiguration
Partial shading is the most unexpected scenario encountered by the arrays that degrade the
performance causing power reduction, non-convex characteristics curves, losses, hotspot …
performance causing power reduction, non-convex characteristics curves, losses, hotspot …
[HTML][HTML] Net-metering and Feed-in-Tariff policies for the optimum billing scheme for future industrial PV systems in Bangladesh
In this paper, the economic sustainability of net billing and feed-in-tariff (all energy buy/sell)
method is analyzed in comparison with the current net-metering for the industrial PV systems …
method is analyzed in comparison with the current net-metering for the industrial PV systems …
[PDF][PDF] Deep Learning-Based Model for Defect Detection and Localization on Photovoltaic Panels.
S Prabhakaran, RA Uthra… - … Systems Science & …, 2023 - academia.edu
The Problem of Photovoltaic (PV) defects detection and classification has been well studied.
Several techniques exist in identifying the defects and localizing them in PV panels that use …
Several techniques exist in identifying the defects and localizing them in PV panels that use …
Isolated convolutional-neural-network-based deep-feature extraction for brain tumor classification using shallow classifier
In today's world, a brain tumor is one of the most serious diseases. If it is detected at an
advanced stage, it might lead to a very limited survival rate. Therefore, brain tumor …
advanced stage, it might lead to a very limited survival rate. Therefore, brain tumor …
Metaheuristic optimization-based feature selection for imagery and arithmetic tasks: An fNIRS study
In recent decades, the brain–computer interface (BCI) has emerged as a leading area of
research. The feature selection is vital to reduce the dataset's dimensionality, increase the …
research. The feature selection is vital to reduce the dataset's dimensionality, increase the …
Management of distributed renewable energy resources with the help of a wireless sensor network
Photovoltaic (PV) and wind energy are widely considered eco-friendly renewable energy
resources. However, due to the unpredictable oscillations in solar and wind power …
resources. However, due to the unpredictable oscillations in solar and wind power …
[HTML][HTML] Fault detection and computation of power in PV cells under faulty conditions using deep-learning
Renewable energy is considered to be an alternate option for limiting the consumption of
fossil fuel along with reducing environmental pollution. Among the possible renewable …
fossil fuel along with reducing environmental pollution. Among the possible renewable …