Failure signature classification in solar photovoltaic plants using RGB images and convolutional neural networks
Sign Up to like & getrecommendations! Published in 2020 at "Renewable Energy"
DOI: 10.1016/j.renene.2020.07.154
Abstract: Abstract Physical fault detection in panels that are part of photovoltaic (PV) plants typically involves the analysis of thermal and electroluminescent images, which makes it either difficult or impossible to identify the source of the… read more here.
Keywords: photovoltaic plants; fault; classification; neural networks ... See more keywords
Technological review of the instrumentation used in aerial thermographic inspection of photovoltaic plants
Sign Up to like & getrecommendations! Published in 2018 at "Renewable and Sustainable Energy Reviews"
DOI: 10.1016/j.rser.2018.05.027
Abstract: Abstract Photogrammetric studies performed with Unmanned Aerial Vehicles (UAV) have recently become more popular as they present an interesting low-cost alternative. A novel application of thermography with UAVs has been validated during the last years:… read more here.
Keywords: photovoltaic plants; thermographic inspection; aerial thermographic; inspection photovoltaic ... See more keywords
Automatic Boundary Extraction of Large-Scale Photovoltaic Plants Using a Fully Convolutional Network on Aerial Imagery
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Photovoltaics"
DOI: 10.1109/jphotov.2020.2992339
Abstract: This article presents a novel method for boundary extraction of photovoltaic (PV) plants using a fully convolutional network (FCN). Extracting the boundaries of PV plants is essential in the process of aerial inspection and autonomous… read more here.
Keywords: fully convolutional; plants using; photovoltaic plants; boundary extraction ... See more keywords
Performance Assessment of Large Photovoltaic (PV) Plants Using an Integrated State-Space Average Modeling Approach
Sign Up to like & getrecommendations! Published in 2020 at "Energies"
DOI: 10.3390/en13184777
Abstract: Distributed power converters represent a technical solution to improve the performance of large or utility-scale photovoltaic (PV) plants. Unfortunately, evaluation of the yield obtained in large PV fields by using distributed converters is a difficult… read more here.
Keywords: performance; state space; photovoltaic plants; approach ... See more keywords