Water and energy consumptions forecast for a smart control at The Hotel Brussels

Monitoring consists of gathering and supervising data in real time. This helps in fast detection of issues and fast reaction which prevents huge energy and money losses. But what if it was possible to predict in advance these consumptions? The answer is even faster detection and reaction

A consumption model depends on each building. This will be mainly influenced by the weather and intensity parameters like the occupancy or the opening hours of the building.

Thanks to a model based on thermal principles and validated by historical consumption data from previous years it is possible to predict next day’s consumptions for water, gas and electricity.

This prediction has been tested and validated on the use-case of The Hotel Brussels. Every day, the hourly consumptions are calculated for the next day. The model produces also an interval where 95% of consumptions should stay.

This prediction has been tested and validated on the use-case of The Hotel Brussels. Every day, the hourly consumptions are calculated for the next day. The model produces also an interval where 95% of consumptions should stay.

Example of real consumption and forecasted consumption

While comparing the forecasted and real-time consumption, the operators are able to detect drifts and immediately investigate the causes and react for continuous improvement.

Chloé PONSART

Project Manager

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