Generalizing projected LiDAR data with support vector machines for solar energy applications

Onderzoeksoutput: Bijdrage aan congresPosterAcademic

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Samenvatting

This project aims to facilitate the application of Light Detection and Ranging (LiDAR) point-clouds for taking into account shading of photovoltaic (PV) systems in the urban environment. In the Netherlands, LiDAR data is available nationwide, with a 0.5 m resolution. We use machine learning to turn this raw point-cloud data into a valuable asset for shading calculations. Applications include PV and building design support, and providing input for making digital twins for fault detection of PV systems.
Originele taal-2Engels
Aantal pagina's1
StatusGepubliceerd - 12 nov 2019
EvenementData Science Summit 2019: The Annual Data Science Summit Eindhoven, organized by TU/e - DSCE - Frits Philips Muziekgebouw, Eindhoven, Nederland
Duur: 12 nov 201912 nov 2019
https://www.tue.nl/en/research/research-areas/data-science/data-science-summit-2019/

Seminarie

SeminarieData Science Summit 2019
LandNederland
StadEindhoven
Periode12/11/1912/11/19
Internet adres

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  • Citeer dit

    Bognár, Á., Loonen, R., & Hensen, J. (2019). Generalizing projected LiDAR data with support vector machines for solar energy applications. Postersessie gepresenteerd op Data Science Summit 2019, Eindhoven, Nederland.