Optimization of snowmaking in high mountains ski resort
Details
Serval ID
serval:BIB_B286AF2AC6FD
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Optimization of snowmaking in high mountains ski resort
Title of the conference
Proceedings of the 13th AGILE International Conference on Geographic Information Science, Guimaraes, Portugal
Publisher
AGILE
ISBN
978-989-20-1953-6
Publication state
Published
Issued date
2010
Editor
Painho M., Santos M.Y., Pundt H.
Pages
1-9
Language
english
Abstract
Ski resorts are deploying more and more systems of artificial snow.
These tools are necessary to ensure an important economic activity
for the high alpine valleys. However, artificial snow raises important
environmental issues that can be reduced by an optimization of its
production. This paper presents a software prototype based on artificial
intelligence to help ski resorts better manage their snowpack. It
combines on one hand a General Neural Network for the analysis of
the snow cover and the spatial prediction, with on the other hand
a multiagent simulation of skiers for the analysis of the spatial
impact of ski practice. The prototype has been tested on the ski
resort of Verbier (Switzerland).
These tools are necessary to ensure an important economic activity
for the high alpine valleys. However, artificial snow raises important
environmental issues that can be reduced by an optimization of its
production. This paper presents a software prototype based on artificial
intelligence to help ski resorts better manage their snowpack. It
combines on one hand a General Neural Network for the analysis of
the snow cover and the spatial prediction, with on the other hand
a multiagent simulation of skiers for the analysis of the spatial
impact of ski practice. The prototype has been tested on the ski
resort of Verbier (Switzerland).
Keywords
Snowmaking, spatial prediction, multiagent simulations, General Regression, Neural Network
Create date
25/11/2013 18:18
Last modification date
20/08/2019 16:21
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