Modelling of energy use patterns in the residential sector using linguistic variables

This paper presents some results from a project aimed at the development of characteristic patterns of energy use based on structural models of energy consumption. The structure of the models developed allows an analysis of demand side management (DSM) impact and future demand. This paper is focused on the application of fuzzy filters in transferring linguistic variables expressed in terms of common words into mathematical operators. These linguistic variables appear when customers describe their behaviour and life styles. The fuzzy filters used not only transfer linguistic variables into computerised forms but they also map uncertainty from linguistic data into filter parameters.