RELEVANT FEATURE SELECTION FOR HOME APPLIANCES RECOGNITION

International audienceAll over the world, the residential sector represents an important part in electrical energy consumption, and thus, is an opportunity to address substantial savings in terms of energy and money. In order to attempt this objective , a relevant knowledge of the appliances used in residential buildings is needed in order to better control or monitor energy consumption. This will be made possible through an effective automatic recognition of the home appliances. In this context, the main objective of this work is to be able to describe appliances as best as possible in order to recognize them individually, using features deduced from current and voltage measurements recorded at the grid connection point. In this paper, methods for selecting the most relevant features allowing the recognition of home appliances are proposed. The set up of a database of sampled measurements recorded on various home appliances types is also introduced