Search results for "photovoltaic energy"

showing 3 items of 3 documents

Convolutional Neural Network for Dust and Hotspot Classification in PV Modules

2020

20th IEEE International Conference on Environment and Electrical Engineering, EEEIC 2020, online, 9 Jun 2020 - 12 Jun 2020; Energies : open-access journal of related scientific research, technology development and studies in policy and management 13(23), 6357 (2020). doi:10.3390/en13236357 special issue: "Special Issue "Selected Papers from 20 IEEE International Conference on Environment and Electrical Engineering (EEEIC 2020)" / Special Issue Editor: Prof. Dr. Rodolfo Araneo, Guest Editor"

Control and OptimizationComputer science020209 energyReal-time computingEnergy Engineering and Power Technologydiagnosticconvolutional neural network02 engineering and technology010501 environmental sciencesSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricilcsh:Technology01 natural sciencesConvolutional neural networkphotovoltaic energyhot spotHotspot (geology)diagnostics0202 electrical engineering electronic engineering information engineeringenergy efficientElectrical and Electronic EngineeringEngineering (miscellaneous)0105 earth and related environmental sciencesSettore ING-IND/11 - Fisica Tecnica Ambientalelcsh:TRenewable Energy Sustainability and the Environmentbusiness.industryPhotovoltaic systemDirtartificial intelligencerenewable energy620Renewable energyElectricity generationinfrared thermographydustddc:620businessEnergy (miscellaneous)Efficient energy use
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Environmental Data Processing by Clustering Methods for Energy Forecast and Planning

2011

This paper presents a statistical approach based on the k-means clustering technique to manage environmental sampled data to evaluate and to forecast of the energy deliverable by different renewable sources in a given site. In particular, wind speed and solar irradiance sampled data are studied in association to the energy capability of a wind generator and a photovoltaic (PV) plant, respectively. The proposed method allows the sub-sets of useful data, describing the energy capability of a site, to be extracted from a set of experimental observations belonging the considered site. The data collection is performed in Sicily, in the south of Italy, as case study. As far as the wind generation…

Data processingWind powerRenewable Energy Sustainability and the Environmentbusiness.industryComputer sciencePhotovoltaic systemcomputer.software_genreWind speedRenewable energyWind energy; Photovoltaic energy; Distributed generation; Statistical methods; Data processing; ClusteringDistributed generationData miningCluster analysisbusinessTelecommunicationscomputerEnergy (signal processing)
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Energy efficiency and photovoltaic solar for greenhouse agriculture

2011

photovoltaic energygreenhouse industryphotovoltaic energy; energy efficiency; greenhouse industry; CO2 emissionsphotovoltaic energy energy efficiency greenhouse industry CO2 emissionsCO2 emissionsenergy efficiency
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