Tools for the improvement of households energy management
Résumé
Energy consumption in tertiary and residential sector is one of the biggest parts of the total with more than 40%. With the new regulation in building construction we are able to produce buildings producing energy instead of consuming it. However, the appliances level in households is increasing a lot and the level of energy consumption of these objects becomes the major energy consumption of a household. Some experiments have been tested to assess the efficiency of several tools for different actions. On one hand we can inform people of their energy behavior and try to change their habits in a positive way of a reduction of their consumption. To provide such tools, it is important to provide and to collect the right information in order to give a dedicate message in each situation. To fulfill this point it is important to include some sociological consideration in the analyses of the data. Other ongoing experiments try to analyse by several statistical and machine learning techniques a rich survey of an important sample of population to establish some profiles and help the household in their energy consumption reduction. This presentation will introduce the two approaches with some results and way of progress.