Structural modelling of energy demand in the residential sector: 1. Development of structural models

Evaluation of city-scale impact of residential energy conservation measures using the detailed end-use simulation model

“…However, these models could not consider the energy use by each appliance. Michalik et al [6] developed a structure model of electricity demand in the residential sector of a region based on a bottom-up approach that sums up each appliance's operation schedule for improving the electricity load curve by demand side management. However, this method does not include the heat load calculation and the fuel consumption.…”

Estimation of the contribution of the residential sector to summer peak demand reduction in Japan using an energy end-use simulation model

“…The primary advantage of Michalik et al [5] is its high-temporal resolution. Their model was developed during the 1990s for the application to the planning of a feeder network.…”

Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India

“…Mackay and Probert [14] presented a modified logit-function demand forecasting model for predicting national crude-oil and natural gas consumptions based on saturation curve extrapolations for the appropriate energy intensity. Michalik et al [15] used linguistic variables and fuzzy logic approach for the development of mathematical model to predict the energy demand in the residential sector. Chavez et al [16] implemented univariate Box-Jenkins time series analyses (ARIMA) models to predict the energy production and consumption in Asturias, Northern Spain.…”