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

Research output: Contribution to conferencePoster

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Abstract

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.
Original languageEnglish
Number of pages1
Publication statusPublished - 12 Nov 2019
EventData Science Summit 2019: The Annual Data Science Summit Eindhoven, organized by TU/e - DSCE - Frits Philips Muziekgebouw, Eindhoven, Netherlands
Duration: 12 Nov 201912 Nov 2019
https://www.tue.nl/en/research/research-areas/data-science/data-science-summit-2019/

Seminar

SeminarData Science Summit 2019
CountryNetherlands
CityEindhoven
Period12/11/1912/11/19
Internet address

Keywords

  • LiDAR measurements
  • Support vector machines
  • Shading effect
  • Solar energy

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