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 language | English |
|---|---|
| Number of pages | 1 |
| Publication status | Published - 12 Nov 2019 |
| Event | Data Science Summit 2019: The Annual Data Science Summit Eindhoven - Frits Philips Muziekgebouw, Eindhoven, Netherlands Duration: 12 Nov 2019 → 12 Nov 2019 https://www.tue.nl/en/research/research-areas/data-science/data-science-summit-2019/ |
Seminar
| Seminar | Data Science Summit 2019 |
|---|---|
| Country/Territory | Netherlands |
| City | Eindhoven |
| Period | 12/11/19 → 12/11/19 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities
Keywords
- LiDAR measurements
- Support vector machines
- Shading effect
- Solar energy
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