In Marrakech, a hotel runs its air conditioning by machine learning
The system anticipates room occupancy and the building’s thermal inertia. After one season, 31% less electricity, with no guest complaint recorded.
By The Platinium Post newsroom · 4 min read · 3 publications cited at the end of this article
There is nothing exotic about the model: presence sensors, two years of history, and a temperature setpoint computed an hour ahead rather than in reaction.
What it changes for an operator: the investment pays back in two seasons, provided the building is already properly insulated. Without that, the gain halves.
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Sources
- Publication de démonstration 1 — example.org
- Publication de démonstration 2 — example.org
- Publication de démonstration 3 — example.org