Structural modelling of energy demand in the residential sector: 2. The use of linguistic variables to include uncertainty of customers' behaviour

Building energy models and assessment systems at the district and city scales: a review

“…One of the first ones was implemented by Michalik et al (1997) which aimed at predicting electricity consumption profiles for the residential sector. The techniques and scope have evolved considerably, taking into account all the consumption sectors and/or to improve the robustness of the calculations.…”

Artificial Intelligence in Buildings: A Review of the Application of Fuzzy Logic

“…Although the NN is better for load prediction, the proposed method can extract meaningful information from the measured data and can predict the building energy load of the next day. • Michalik et al (1997) modelled energy-using behaviour of residential customers by the use of a fuzzy logic approach. Fuzzy filters are applied to transfer uncertainties of customer declarations expressed in linguistic variables into parameters of structural models.…”

Interval Estimations of Building Heating Energy Consumption using the Degree-Day Method and Fuzzy Numbers

“…In the literature of building energy research, the imprecision type of uncertainty has been recognized, and researchers have been using fuzzy logic to model the behaviour of occupants [28] and the pattern of house electricity consumption [29]. Kolokotsa [30] has reviewed the applications of fuzzy logic in the analysis of energy consumption in buildings.…”