Economic interest of heating and hot water prediction system for residential district

Dufour, Luc (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Genoud, Dominique (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Genoud, Stephane (Mines-Telecom, Albi, France) ; Cimmino, Francesco Maria (Mines-Telecom, Albi, France) ; Ladevie, Bruno (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Bezian, Jean-Jacques (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

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 which used supervised learning techniques. This paper presents an industrial methodology to predict heating and hot water consumption using time series analyzes and tree ensemble algorithm. Considering the winter season 2012-2013 for the training, the heating and hotwater predictions is correctly estimated 90% +/- 1.2 for the winter season 2013-2014. The results are based on the data collected in a building in Chamoson (Switzerland) and simulations. The aim is to provide to the virtual power plant the possibility to pilot an part of energy consumption. The input data for the pilot is the economic parameter. Considering the economic input data for the energy management, a new heasting and hot water consumption is provided for one week.


Mots-clés:
Type de conférence:
full paper
Faculté:
Economie et Services
Ecole:
HEG VS HES-SO Valais-Wallis - Haute Ecole de Gestion & Tourisme
Institut:
Institut Informatique de gestion
Classification:
Informatique
Adresse bibliogr.:
Crans-Montana, Suisse, 23-25 March 2016
Date:
Crans-Montana, Suisse
23-25 March 2016
2016
Pagination:
6 p.
Titre du document hôte:
Proceedings of the 30th IEEE International Conference on Advanced Information Networking and Applications (AINA) 2016
DOI:
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Note  Le statut de ce document est: non diffusé

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 Notice créée le 2016-09-28, modifiée le 2018-07-09

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