Authors: Eric Ferreri, Jean-Marc Salotti, Pierre-Alexandre Favier
In recent years, continuously growing energy requirements have become an issue. This is particularly true concerning electrical energy as resources to produce it are limited. Numerous studies have shown that human behaviour plays a key role in the global consumption. Thus modelling human activity is part of the sustainable developpement challenge. To achieve good simulating and predicting performances in the field of electric consumption, various statistical and behavioural methods that take human factors into account have been implemented. Both families of methods have their respective strengths and weaknesses. We propose a review of these methods. Signal processing techniques have been widely used to solve this problem. New methods based on behavioural models are promising. A recent work proposed by the authors is based on a psychological model that highlights the nature of decision-taking processes related to electrical consumption.