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Heating and Hot Water Industrial Prediction System for Residential District | IEEE Conference Publication | IEEE Xplore

Heating and Hot Water Industrial Prediction System for Residential District


Abstract:

This work presents a data-intensive solution to predict heating and hot water consumption. The ability to predict locally those flexible sources considering meteorologica...Show More

Abstract:

This work presents a data-intensive solution to predict heating and hot water consumption. The ability to predict locally those flexible sources considering meteorological uncertainty can play a key role in the management of microgrid. A microgrid is a building block of future smart grid, it can be defined as a network of low voltage power generating units, storage devices and loads. The main novelties of our approach is to provide an easy implemented and flexible solution that used a supervised learning techniques. This paper presents an industrial methodology to predict heating and hot water consumption using time series analyzes and tree ensemble algorithm. The results are based on the data collected in a building in Chamoson(Switzerland) and simulations. Considering the winter season 2012-2013 for the training, the heating and hot water predictions is correctly estimated 90% +/- 1.2 for the winter season 2013-2014.
Date of Conference: 23-25 March 2016
Date Added to IEEE Xplore: 19 May 2016
ISBN Information:
Conference Location: Crans-Montana, Switzerland

References

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