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17/10/2025 10:04 pm
Most ML takes place before any deployment happens. Not much is needed to run most of these models.
The timing of training and inference are very application and algorithm dependent. tepeo uses ML to learn the daily profile of heat demand of each ZEB installation throughout the year. The models are then used to predict future heat demand, so that each ZEB's charging can be scheduled effectively. So in this case training and inference are happening daily.
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