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ANN based controller to mitigate soiling loss on solar panels

https://doi.org/10.1109/ictfcen.2016.8052723
0 signed · 20 inferred · view as graph

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.enpol.2010.11.040openalex-snapshot
Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials
inferredcites →https://doi.org/10.1016/j.eswa.2011.01.085openalex-snapshot
Estimation of solar radiation using artificial neural networks with different input parameters for Mediterranean region of Anatolia in Turkey
inferredcites →https://doi.org/10.1016/j.protcy.2013.12.157openalex-snapshot
A New Levenberg Marquardt based Back Propagation Algorithm Trained with Cuckoo Search
inferredcites →https://doi.org/10.1016/j.renene.2013.04.011openalex-snapshot
Artificial neural network-based model for estimating the produced power of a photovoltaic module
inferredcites →https://doi.org/10.1016/j.rser.2010.07.065openalex-snapshot
Impact of dust on solar photovoltaic (PV) performance: Research status, challenges and recommendations
inferredcites →https://doi.org/10.1016/j.rser.2014.02.016openalex-snapshot
Dust effect on flat surfaces – A review paper
inferredcites →https://doi.org/10.1016/j.rser.2014.08.068openalex-snapshot
Effect of dust pollutant type on photovoltaic performance
inferredcites →https://doi.org/10.1016/j.solener.2011.03.006openalex-snapshot
The effect of soiling on energy production for large-scale photovoltaic plants
inferredcites →https://doi.org/10.1016/j.solener.2016.02.025openalex-snapshot
Long-term soiling of silicon PV modules in a moderate subtropical climate
inferredcites →https://doi.org/10.1016/s0306-2619(00)00005-2openalex-snapshot
Applications of artificial neural-networks for energy systems
inferredcites →https://doi.org/10.1016/s0360-1285(03)00058-3openalex-snapshot
Artificial intelligence for the modeling and control of combustion processes: a review
inferredcites →https://doi.org/10.1109/pvsc.1997.654315openalex-snapshot
Application and validation of a new PV performance characterization method
inferredcites →https://doi.org/10.1162/neco.1992.4.3.448openalex-snapshot
A Practical Bayesian Framework for Backpropagation Networks
inferredcites →https://doi.org/10.4324/9781849776981openalex-snapshot
Applied Photovoltaics

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3905160openalex-extracted
Artificial Neural Network for Soiling Prediction on Csp: Experimental Measurements, Modeling and Multi-Weather Validation
inferred← citeshttps://doi.org/10.1007/978-3-031-89771-9_32openalex-snapshot
Artificial Intelligence-Based Smart Automatic Railway Crack Detection and Protection
inferred← citeshttps://doi.org/10.1109/coase.2019.8843331openalex-snapshot
Video-Based Windshield Rain Detection and Wiper Control Using Holistic-View Deep Learning
inferred← citeshttps://doi.org/10.1109/icais56108.2023.10073675openalex-snapshot
Integrated IoT System for Automatic Dust Cleaning of Solar Panels
inferred← citeshttps://doi.org/10.1109/iwobi.2018.8464196openalex-snapshot
Design of an Artificial Neural Network Controller for a Tankless Water Heater By Using a Low-Profile Embedded System
inferred← citeshttps://doi.org/10.37116/revistaenergia.v18.n2.2022.490openalex-snapshot
Determination of the optimum power point in photovoltaic panels using the Liu &Jordan model considering fuzzy variables
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